Publications: Dimitris Bertsimas

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  • Affiliation: Boeing Professor of Operations Research, MIT
  • Google Scholar ID: prKmkzMAAAAJ
  • Total Publications: 516

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Title Year Citations Score
The price of robustness
Operations research 52 (1), 35-53, 2004
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2004 5348 99.8%
Theory and applications of robust optimization
SIAM review 53 (3), 464-501, 2011
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2011 2988 99.7%
Introduction to linear optimization
Athena scientific 6, 479-530, 1997
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1997 4533 99.6%
Adaptive robust optimization for the security constrained unit commitment problem
IEEE transactions on power systems 28 (1), 52-63, 2012
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2012 1771 99.1%
Robust discrete optimization and network flows
Mathematical programming 98 (1-3), 49-71, 2003
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2003 2348 99.1%
From predictive to prescriptive analytics
Management Science 66 (3), 1025-1044, 2020
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2020 644 98.9%
Simulated annealing
Statistical science 8 (1), 10-15, 1993
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1993 1540 98.6%
Best subset selection via a modern optimization lens
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2016 901 98.5%
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
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2022 211 98.4%
Data-driven robust optimization
Mathematical Programming 167, 235-292, 2018
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2018 683 98.1%
Optimal classification trees
Machine Learning 106 (7), 1039-1082, 2017
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2017 704 98.1%
Optimal control of execution costs
Journal of financial markets 1 (1), 1-50, 1998
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1998 1357 98.1%
Forecasting COVID-19 and analyzing the effect of government interventions
Operations Research 71 (1), 184-201, 2023
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2023 93 97.4%
A robust optimization approach to inventory theory
Operations research 54 (1), 150-168, 2006
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2006 806 97.0%
The price of fairness
Operations research 59 (1), 17-31, 2011
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2011 689 96.8%
A data-driven approach to multistage stochastic linear optimization
Management Science 69 (1), 51-74, 2023
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2023 75 96.6%
Adaptive distributionally robust optimization
Management Science 65 (2), 604-618, 2019
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2019 302 96.3%
Where to locate COVID‐19 mass vaccination facilities?
Naval Research Logistics (NRL) 69 (2), 179-200, 2022
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2022 110 96.3%
The air traffic flow management problem with enroute capacities
Operations research 46 (3), 406-422, 1998
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1998 783 96.1%
A stochastic and dynamic vehicle routing problem in the Euclidean plane
Operations Research 39 (4), 601-615, 1991
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1991 669 95.8%
COVID-19 mortality risk assessment: An international multi-center study
PloS one 15 (12), e0243262, 2020
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2020 217 95.5%
Optimal inequalities in probability theory: A convex optimization approach
SIAM Journal on Optimization 15 (3), 780-804, 2005
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2005 595 95.2%
Robust linear optimization under general norms
Operations Research Letters 32 (6), 510-516, 2004
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2004 623 95.0%
Online mixed-integer optimization in milliseconds
INFORMS Journal on Computing 34 (4), 2229-2248, 2022
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2022 83 94.8%
Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US
MedRXiv, 2020.08. 19.20177493, 2020
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2020 188 94.6%
Optimization over integers
(No Title), 2005
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2005 540 94.6%
From predictive methods to missing data imputation: an optimization approach
Journal of Machine Learning Research 18 (196), 1-39, 2018
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2018 274 94.4%
Online vehicle routing: The edge of optimization in large-scale applications
Operations Research 67 (1), 143-162, 2019
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2019 214 94.4%
Constructing uncertainty sets for robust linear optimization
Operations research 57 (6), 1483-1495, 2009
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2009 456 94.1%
Robust sample average approximation
Mathematical Programming 171, 217-282, 2018
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2018 260 94.1%
Dynamic optimization with side information
European Journal of Operational Research 304 (2), 634-651, 2023
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2023 45 94.0%
Sparse high-dimensional regression: Exact scalable algorithms and phase transitions
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2020 172 94.0%
A new generation of vehicle routing research: robust algorithms, addressing uncertainty
Operations research 44 (2), 286-304, 1996
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1996 503 93.9%
Mixed-integer optimization with constraint learning
Operations Research, 2023
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2023 42 93.6%
Machine learning under a modern optimization lens
Dynamic Ideas LLC, 2019
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2019 186 93.4%
Interpretable clustering: an optimization approach
Machine Learning 110, 89-138, 2021
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2021 107 93.2%
The power and limits of predictive approaches to observational data-driven optimization: The case of pricing
INFORMS Journal on Optimization 5 (1), 110-129, 2023
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2023 39 93.0%
Stochastic and dynamic vehicle routing in the Euclidean plane with multiple capacitated vehicles
Operations Research 41 (1), 60-76, 1993
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1993 408 93.0%
Robust and Adaptive Optimization
Dynamic Ideas, 2022
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2022 63 92.7%
Bootstrap robust prescriptive analytics
Mathematical Programming 195 (1-2), 39-78, 2022
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2022 63 92.7%
Surgical risk is not linear: derivation and validation of a novel, user-friendly, and machine-learning-based predictive optimal trees in emergency surgery risk (POTTER) calculator
Annals of surgery 268 (4), 574-583, 2018
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2018 216 92.6%
Tractable approximations to robust conic optimization problems
Mathematical programming 107 (1-2), 5-36, 2006
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2006 408 92.6%
An integer optimization approach to large-scale air traffic flow management
Operations research 59 (1), 211-227, 2011
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2011 341 92.5%
On the efficiency-fairness trade-off
Management Science 58 (12), 2234-2250, 2012
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2012 321 92.5%
A priori optimization
Operations Research 38 (6), 1019-1033, 1990
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1990 374 92.4%
Robust and data-driven optimization: modern decision-making under uncertainty
INFORMS Tutorials in Operations Research: Models, Methods, and Applications …, 2006
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2006 401 92.4%
The multi-airport ground-holding problem in air traffic control
Operations Research 42 (2), 249-261, 1994
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1994 399 92.2%
Shortfall as a risk measure: properties, optimization and applications
Journal of Economic Dynamics and control 28 (7), 1353-1381, 2004
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2004 429 92.2%
Robust game theory
Mathematical programming 107 (1-2), 231-273, 2006
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2006 379 91.9%
A scalable algorithm for sparse portfolio selection
Informs journal on computing 34 (3), 1489-1511, 2022
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2022 57 91.8%
The voice of optimization
Machine Learning 110, 249-277, 2021
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2021 90 91.6%
Algorithm for cardinality-constrained quadratic optimization
Computational Optimization and Applications 43 (1), 1-22, 2009
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2009 316 91.0%
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
Elife 12, e81916, 2023
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2023 31 90.9%
Optimization-based scenario reduction for data-driven two-stage stochastic optimization
Operations Research 71 (4), 1343-1361, 2023
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2023 31 90.9%
From predictions to prescriptions: A data-driven response to COVID-19
Health care management science 24, 253-272, 2021
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2021 83 90.8%
Probabilistic combinatorial optimization problems
Massachusetts Institute of Technology, 1988
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1988 313 90.6%
Optimality of affine policies in multistage robust optimization
Mathematics of Operations Research 35 (2), 363-394, 2010
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2010 298 90.4%
Predicting inpatient flow at a major hospital using interpretable analytics
Manufacturing & Service Operations Management 24 (6), 2809-2824, 2022
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2022 50 90.4%
Revenue management in a dynamic network environment
Transportation science 37 (3), 257-277, 2003
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2003 385 90.4%
Integrated multimodal artificial intelligence framework for healthcare applications
NPJ digital medicine 5 (1), 149, 2022
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2022 48 89.9%
Fairness, efficiency, and flexibility in organ allocation for kidney transplantation
Operations Research 61 (1), 73-87, 2013
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2013 234 89.9%
Survivable networks, linear programming relaxations and the parsimonious property
Mathematical programming 60 (1-3), 145-166, 1993
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1993 287 89.8%
Data-driven estimation in equilibrium using inverse optimization
Mathematical Programming 153, 595-633, 2015
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2015 198 89.4%
Finite adaptability in multistage linear optimization
IEEE Transactions on Automatic Control 55 (12), 2751-2766, 2010
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2010 272 89.4%
Models for minimax stochastic linear optimization problems with risk aversion
Mathematics of Operations Research 35 (3), 580-602, 2010
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2010 270 89.3%
Two-stage sample robust optimization
Operations Research 70 (1), 624-640, 2022
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2022 45 89.2%
Finding Neurons in a Haystack: Case Studies with Sparse Probing
arXiv preprint arXiv:2305.01610, 2023
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2023 26 89.0%
Exact first-choice product line optimization
Operations Research 67 (3), 651-670, 2019
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2019 120 89.0%
Tractable stochastic analysis in high dimensions via robust optimization
Massachusetts Institute of Technology, 2013
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2013 213 88.7%
Algorithmic prediction of health-care costs
Operations Research 56 (6), 1382-1392, 2008
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2008 264 88.7%
On the power and limitations of affine policies in two-stage adaptive optimization
Mathematical programming 134 (2), 491-531, 2012
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2012 221 88.5%
The traffic flow management rerouting problem in air traffic control: A dynamic network flow approach
Transportation Science 34 (3), 239-255, 2000
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2000 328 88.4%
Characterization of the equivalence of robustification and regularization in linear and matrix regression
European Journal of Operational Research 270 (3), 931-942, 2018
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2018 142 88.4%
Robust multiperiod portfolio management in the presence of transaction costs
Computers & Operations Research 35 (1), 3-17, 2008
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2008 256 88.3%
Solving convex programs by random walks
Journal of the ACM (JACM) 51 (4), 540-556, 2004
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2004 295 88.2%
Fairness and collaboration in network air traffic flow management: an optimization approach
Transportation Science 50 (1), 57-76, 2016
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2016 157 87.7%
Conservation laws, extended polymatroids and multiarmed bandit problems; a polyhedral approach to indexable systems
Mathematics of Operations Research 21 (2), 257-306, 1996
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1996 264 87.6%
Sparse regression: Scalable algorithms and empirical performance
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2020 91 87.5%
Multistage robust mixed-integer optimization with adaptive partitions
Operations Research 64 (4), 980-998, 2016
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2016 154 87.4%
Solving large-scale sparse PCA to certifiable (near) optimality
Journal of Machine Learning Research 23 (13), 1-35, 2022
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2022 39 87.3%
Personalized diabetes management using electronic medical records
Diabetes care 40 (2), 210-217, 2017
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2017 142 87.3%
A robust optimization approach to supply chain management
Integer Programming and Combinatorial Optimization: 10th International IPCO …, 2004
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2004 274 87.2%
Data-driven optimization: A reproducing kernel Hilbert space approach
Operations Research 70 (1), 454-471, 2022
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2022 38 86.9%
Reformulation versus cutting-planes for robust optimization: A computational study
Computational Management Science 13, 195-217, 2016
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2016 148 86.9%
Restless bandits, linear programming relaxations, and a primal-dual index heuristic
Operations Research 48 (1), 80-90, 2000
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2000 286 86.6%
Optimal prescriptive trees
INFORMS Journal on Optimization 1 (2), 164-183, 2019
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2019 100 86.6%
Dynamic ground-holding policies for a network of airports
Transportation Science 28 (4), 275-291, 1994
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1994 235 86.6%
OR forum—an algorithmic approach to linear regression
Operations Research 64 (1), 2-16, 2016
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2016 145 86.5%
A soft robust model for optimization under ambiguity
Operations research 58 (4-part-2), 1220-1234, 2010
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2010 217 86.3%
Optimization of multiclass queueing networks: Polyhedral and nonlinear characterizations of achievable performance
The Annals of Applied Probability 4 (1), 43-75, 1994
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1994 229 86.2%
An analytics approach to designing combination chemotherapy regimens for cancer
Management Science 62 (5), 1511-1531, 2016
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2016 140 86.0%
On the relation between option and stock prices: a convex optimization approach
Operations Research 50 (2), 358-374, 2002
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2002 262 86.0%
Robust classification
INFORMS Journal on Optimization 1 (1), 2-34, 2019
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2019 96 86.0%
Design of near optimal decision rules in multistage adaptive mixed-integer optimization
Operations Research 63 (3), 610-627, 2015
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2015 148 85.4%
Learning sparse nonlinear dynamics via mixed-integer optimization
Nonlinear Dynamics 111 (7), 6585-6604, 2023
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2023 20 85.3%
Health information management: implications of artificial intelligence on healthcare data and information management
Yearbook of medical informatics 28 (01), 056-064, 2019
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2019 92 85.3%
Hurricane forecasting: A novel multimodal machine learning framework
Weather and Forecasting 37 (6), 817-831, 2022
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2022 33 84.6%
Development and validation of an optimized prediction of mortality for candidates awaiting liver transplantation
American Journal of Transplantation 19 (4), 1109-1118, 2019
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2019 88 84.6%
A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave
Nature communications 12 (1), 5173, 2021
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2021 53 84.5%
Simulation-based booking limits for airline revenue management
Operations Research 53 (1), 90-106, 2005
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2005 213 84.1%
Sparse classification: a scalable discrete optimization perspective
Machine Learning 110, 3177-3209, 2021
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2021 51 83.9%
Binary decision rules for multistage adaptive mixed-integer optimization
Mathematical Programming 167, 395-433, 2018
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2018 102 83.7%
Hedging derivative securities and incomplete markets: An ϵ-arbitrage approach
Operations research 49 (3), 372-397, 2001
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2001 226 83.7%
A hierarchy of near-optimal policies for multistage adaptive optimization
IEEE Transactions on Automatic Control 56 (12), 2809-2824, 2011
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2011 168 83.5%
A unified approach to mixed-integer optimization problems with logical constraints
SIAM Journal on Optimization 31 (3), 2340-2367, 2021
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2021 49 83.2%
An approximate dynamic programming approach to multidimensional knapsack problems
Management Science 48 (4), 550-565, 2002
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2002 214 83.0%
Dynamic pricing: A learning approach
Mathematical and computational models for congestion charging, 45-79, 2006
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2006 189 83.0%
Optimizing schools’ start time and bus routes
Proceedings of the National Academy of Sciences 116 (13), 5943-5948, 2019
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2019 78 82.6%
Computational approaches to stochastic vehicle routing problems
Transportation science 29 (4), 342-352, 1995
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1995 176 82.5%
Stochastic and dynamic vehicle routing with general demand and interarrival time distributions
Advances in Applied Probability 25 (4), 947-978, 1993
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1993 162 82.3%
Further results on the probabilistic traveling salesman problem
European Journal of Operational Research 65 (1), 68-95, 1993
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1993 162 82.3%
Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports
PloS one 15 (6), e0234908, 2020
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2020 65 82.3%
Inverse optimization: A new perspective on the Black-Litterman model
Operations research 60 (6), 1389-1403, 2012
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2012 147 82.3%
Fluid models of sequencing problems in open queueing networks; an optimal control approach
Institute for Mathematics and its Applications 71, 199, 1995
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1995 164 81.5%
Classification and regression via integer optimization
Operations research 55 (2), 252-271, 2007
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2007 168 81.3%
Logistic regression: From art to science
Statistical Science, 367-384, 2017
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2017 94 80.6%
Travel time estimation in the age of big data
Operations Research 67 (2), 498-515, 2019
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2019 70 80.6%
A simple and fast spectroscopy-based technique for Covid-19 diagnosis
Scientific reports 11 (1), 16740, 2021
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2021 42 80.3%
Robust queueing theory
Operations Research 63 (3), 676-700, 2015
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2015 109 80.2%
Optimal bidding in online auctions
Journal of Revenue and Pricing Management 8, 21-41, 2009
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2009 149 80.2%
Robust optimization for unconstrained simulation-based problems
Operations research 58 (1), 161-178, 2010
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2010 149 80.1%
Prescriptive analytics for human resource planning in the professional services industry
European Journal of Operational Research 272 (2), 636-641, 2019
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2019 68 80.0%
Optimal survival trees
Machine Learning 111 (8), 2951-3023, 2022
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2022 25 79.6%
When is time continuous?
Journal of Financial Economics 55 (2), 173-204, 2000
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2000 175 79.3%
The air traffic flow management problem: An integer optimization approach
International Conference on Integer Programming and Combinatorial …, 2008
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2008 145 79.2%
Locating discretionary service facilities, II: maximizing market size, minimizing inconvenience
Operations Research 43 (4), 623-632, 1995
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1995 139 78.8%
Portfolio construction through mixed-integer programming at Grantham, Mayo, Van Otterloo and Company
Interfaces 29 (1), 49-66, 1999
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1999 160 78.7%
Equitable and efficient coordination in traffic flow management
Transportation science 46 (2), 262-280, 2012
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2012 122 78.6%
On central limit theorems in geometrical probability
The Annals of Applied Probability 3 (4), 1033-1046, 1993
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1993 128 78.5%
Validation of the artificial intelligence-based predictive optimal trees in emergency surgery risk (POTTER) calculator in emergency general surgery and emergency laparotomy patients
Journal of the American College of Surgeons 232 (6), 912-919. e1, 2021
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2021 38 78.3%
Duality in two-stage adaptive linear optimization: Faster computation and stronger bounds
INFORMS Journal on Computing 28 (3), 500-511, 2016
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2016 90 78.0%
Machine learning for real-time heart disease prediction
IEEE Journal of Biomedical and Health Informatics 25 (9), 3627-3637, 2021
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2021 37 77.7%
The power of optimization over randomization in designing experiments involving small samples
Operations Research 63 (4), 868-876, 2015
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2015 95 77.4%
Robust optimization
Massachusetts Institute of Technology, 2004
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2004 146 76.9%
Constrained stochastic LQC: a tractable approach
IEEE Transactions on automatic control 52 (10), 1826-1841, 2007
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2007 131 76.7%
Depression and costs of health care
Psychosomatics 50 (4), 392-401, 2009
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2009 122 76.2%
Machine learning in oncology: methods, applications, and challenges
JCO Clinical Cancer Informatics 4, 2020
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2020 48 76.2%
Moment problems and semidefinite optimization
Handbook of Semidefinite Programming: Theory, algorithms, and applications …, 2000
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2000 147 76.1%
Optimal Selection of Airport Runway Configurations
INFORMS Annual Meeting, San Diego, CA, 2009
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2009 121 76.1%
A learning approach for interactive marketing to a customer segment
Operations Research 55 (6), 1120-1135, 2007
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2007 126 75.9%
Trauma outcome predictor: an artificial intelligence interactive smartphone tool to predict outcomes in trauma patients
Journal of Trauma and Acute Care Surgery 91 (1), 93-99, 2021
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2021 34 75.8%
Inventory management in the era of big data
Production and Operations Management 25 (12), 2006-2009, 2016
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2016 81 75.7%
The distributional Little's law and its applications
Operations Research 43 (2), 298-310, 1995
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1995 115 75.4%
Nonconvex robust optimization for problems with constraints
INFORMS journal on computing 22 (1), 44-58, 2010
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2010 116 75.3%
Course scheduling under sudden scarcity: Applications to pandemic planning
Manufacturing & Service Operations Management 24 (2), 727-745, 2022
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2022 20 74.9%
Using artificial intelligence to find the optimal margin width in hepatectomy for colorectal cancer liver metastases
JAMA surgery 157 (8), e221819-e221819, 2022
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2022 20 74.9%
Mixed-projection conic optimization: A new paradigm for modeling rank constraints
Operations Research 70 (6), 3321-3344, 2022
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2022 20 74.9%
The probabilistic minimum spanning tree problem
Networks 20 (3), 245-275, 1990
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1990 105 74.7%
Robust product line design
Operations Research 65 (1), 19-37, 2017
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2017 71 74.6%
Asymptotically optimal algorithms for job shop scheduling and packet routing
Journal of Algorithms 33 (2), 296-318, 1999
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1999 125 74.4%
A data-driven approach to newsvendor problems
Working Papere, Massachusetts Institute of Technology 51, 2005
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2005 122 74.3%
Robust optimization with simulated annealing
Journal of Global Optimization 48, 323-334, 2010
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2010 110 74.2%
Performance of multiclass Markovian queueing networks via piecewise linear Lyapunov functions
Annals of Applied Probability, 1384-1428, 2001
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2001 128 74.1%
Asymptotic buffer overflow probabilities in multiclass multiplexers: An optimal control approach
IEEE Transactions on Automatic Control 43 (3), 315-335, 1998
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1998 118 74.0%
Models and algorithms for transient queueing congestion at airports
Management Science 41 (8), 1279-1295, 1995
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1995 107 74.0%
Special issue papers: Dynamic pricing and inventory control for multiple products
Journal of Revenue and Pricing Management 3, 303-319, 2005
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2005 120 73.9%
Validation of the AI-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) calculator in patients 65 years and older
Annals of Surgery 277 (1), e8-e15, 2023
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2022 19 73.6%
On dependent randomized rounding algorithms
Operations Research Letters 24 (3), 105-114, 1999
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1999 119 73.5%
On the power of robust solutions in two-stage stochastic and adaptive optimization problems
Mathematics of Operations Research 35 (2), 284-305, 2010
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2010 106 73.4%
Data, Models, and Decisions: The Fundamentals of Management Science
Dynamic Ideas, 2004
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2004 122 73.4%
Computation of convex hull prices in electricity markets with non-convexities using dantzig-wolfe decomposition
IEEE Transactions on Power Systems 37 (4), 2578-2589, 2021
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2021 30 72.9%
Optimal control of execution costs for portfolios
Computing in Science & Engineering 1 (6), 40-53, 1999
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1999 109 72.0%
The minimum spanning tree constant in geometrical probability and under the independent model: a unified approach
The Annals of Applied Probability, 113-130, 1992
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1992 91 71.9%
A hybrid approach to beam angle optimization in intensity-modulated radiation therapy
Computers & Operations Research 40 (9), 2187-2197, 2013
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2013 84 71.9%
A new perspective on low-rank optimization
Mathematical Programming, 1-46, 2023
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2023 10 71.4%
Robust and adaptive network flows
Operations Research 61 (5), 1218-1242, 2013
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2013 82 71.3%
Robust option pricing
European Journal of Operational Research 239 (3), 842-853, 2014
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2014 77 71.0%
Imputation of clinical covariates in time series
Machine Learning 110, 185-248, 2021
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2021 28 71.0%
An analytic approach to a general class of G/G/s queueing systems
Operations Research 38 (1), 139-155, 1990
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1990 86 71.0%
Semidefinite relaxations, multivariate normal distributions, and order statistics
Handbook of Combinatorial Optimization: Volume1–3, 1473-1491, 1998
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1998 100 70.9%
The price of interpretability
arXiv preprint arXiv:1907.03419, 2019
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2019 45 70.5%
Probabilistic service level guarantees in make-to-stock manufacturing systems
Operations Research 49 (1), 119-133, 2001
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2001 107 70.4%
Applied informatics decision support tool for mortality predictions in patients with cancer
JCO clinical cancer informatics 2, 1-11, 2018
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2018 53 70.2%
Joint frequency-setting and pricing optimization on multimodal transit networks at scale
Transportation Science 54 (3), 839-853, 2020
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2020 37 70.1%
Adverse outcomes prediction for congenital heart surgery: a machine learning approach
World Journal for Pediatric and Congenital Heart Surgery 12 (4), 453-460, 2021
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2021 27 70.1%
A new algorithm for state-constrained separated continuous linear programs
SIAM Journal on control and optimization 37 (1), 177-210, 1998
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1998 95 69.8%
Personalized treatment for coronary artery disease patients: a machine learning approach
Health care management science 23, 482-506, 2020
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2020 36 69.5%
Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score
PloS one 15 (5), e0232414, 2020
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2020 36 69.5%
A geometric characterization of the power of finite adaptability in multistage stochastic and adaptive optimization
Mathematics of Operations Research 36 (1), 24-54, 2011
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2011 84 69.4%
Optimal design for multi-item auctions: A robust optimization approach
Mathematics of Operations Research 39 (4), 1012-1038, 2014
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2014 72 69.3%
Stability conditions for multiclass fluid queueing networks
IEEE Transactions on Automatic Control 41 (11), 1618-1631, 1996
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1996 87 69.1%
Traveling salesman facility location problems
Transportation science 23 (3), 184-191, 1989
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1989 76 69.1%
Interpretable matrix completion: A discrete optimization approach
INFORMS Journal on Computing, 2023
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2023 9 68.7%
Rounding algorithms for covering problems
Mathematical Programming 80, 63-89, 1998
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1998 90 68.7%
Least quantile regression via modern optimization
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2014 70 68.6%
On the large deviations behavior of acyclic networks of queues
The Annals of Applied Probability 8 (4), 1027-1069, 1998
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1998 88 68.3%
Certifiably optimal sparse principal component analysis
Mathematical Programming Computation 11, 381-420, 2019
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2019 41 68.1%
Balancing efficiency and fairness in liver transplant access: tradeoff curves for the assessment of organ distribution policies
Transplantation 104 (5), 981-987, 2020
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2020 34 68.0%
Transient laws of non-stationary queueing systems and their applications
Queueing systems 25, 115-155, 1997
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1997 85 67.9%
Tight bounds on expected order statistics
Probability in the Engineering and Informational Sciences 20 (4), 667-686, 2006
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2006 87 67.7%
Learning mixed-integer convex optimization strategies for robot planning and control
2020 59th IEEE Conference on Decision and Control (CDC), 1698-1705, 2020
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2020 33 67.2%
The achievable region method in the optimal control of queueing systems; formulations, bounds and policies
Queueing systems 21, 337-389, 1995
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1995 75 66.9%
On the power of randomization in network interdiction
Operations Research Letters 44 (1), 114-120, 2016
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2016 56 66.8%
An asymptotic determination of the minimum spanning tree and minimum matching constants in geometrical probability
Operations Research Letters 9 (4), 223-231, 1990
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1990 67 66.0%
Or forum—tenure analytics: Models for predicting research impact
Operations Research 63 (6), 1246-1261, 2015
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2015 59 66.0%
Robust discrete optimization under ellipsoidal uncertainty sets
Manuscript, MIT 9, 2004
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2004 84 65.5%
A tight characterization of the performance of static solutions in two-stage adjustable robust linear optimization
Mathematical Programming 150 (2), 281-319, 2015
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2015 58 65.5%
Robust and stochastic formulations for ambulance deployment and dispatch
European Journal of Operational Research 279 (2), 557-571, 2019
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2019 37 65.4%
Persistence in discrete optimization under data uncertainty
Mathematical programming 108, 251-274, 2006
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2006 78 65.2%
Data-driven learning in dynamic pricing using adaptive optimization
Optimization Online 20, 2017
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2017 48 64.7%
Near-optimal nonlinear regression trees
Operations Research Letters 49 (2), 201-206, 2021
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2021 22 64.7%
Sparse convex regression
INFORMS Journal on Computing 33 (1), 262-279, 2021
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2021 22 64.7%
Large deviations analysis of the generalized processor sharing policy
Queueing Systems 32, 319-349, 1999
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1999 75 64.3%
Solving asymmetric variational inequalities via convex optimization
Operations Research Letters 34 (5), 481-490, 2006
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2006 75 64.3%
The analytics edge
Dynamic Ideas LLC, 2016
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2016 50 63.8%
Comparison of machine learning optimal classification trees with the pediatric emergency care applied research network head trauma decision rules
JAMA pediatrics 173 (7), 648-656, 2019
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2019 35 63.8%
From predictions to prescriptions in multistage optimization problems
arXiv preprint arXiv:1904.11637, 2019
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2019 35 63.8%
Certifiably optimal low rank factor analysis
The Journal of Machine Learning Research 18 (1), 907-959, 2017
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2017 46 63.6%
A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems
European Journal of Operational Research 263 (2), 664-678, 2017
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2017 46 63.6%
The trimmed lasso: Sparsity and robustness
arXiv preprint arXiv:1708.04527, 2017
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2017 46 63.6%
The backbone method for ultra-high dimensional sparse machine learning
Machine Learning 111 (6), 2161-2212, 2022
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2022 13 63.4%
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021
Communications Medicine 2 (1), 136, 2022
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2022 13 63.4%
Ethics-by-design: efficient, fair and inclusive resource allocation using machine learning
Journal of Law and the Biosciences 9 (1), lsac012, 2022
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2022 13 63.4%
On the performance of affine policies for two-stage adaptive optimization: a geometric perspective
Mathematical Programming 153 (2), 577-594, 2015
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2015 51 62.1%
Deducing queueing from transactional data: the queue inference engine, revisited
Operations Research 40 (3-supplement-2), S217-S228, 1992
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1992 54 61.2%
Dynamic resource allocation: A flexible and tractable modeling framework
European Journal of Operational Research 236 (1), 14-26, 2014
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2014 52 61.0%
Scalable holistic linear regression
Operations Research Letters 48 (3), 203-208, 2020
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2020 26 60.7%
Revealing rival marginal offer prices via inverse optimization
IEEE Transactions on Power Systems 28 (3), 3056-3064, 2013
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2013 53 60.6%
Transient and busy period analysis of theGI/G/1 queue: The method of stages
Queueing Systems 10, 153-184, 1992
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1992 51 60.0%
From valid inequalities to heuristics: A unified view of primal-dual approximation algorithms in covering problems
Operations Research 46 (4), 503-514, 1998
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1998 58 59.9%
Unified optimization of traffic flows through airports
Transportation Science 50 (1), 77-93, 2016
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2016 43 59.7%
Optimal routes for electric vehicles facing uncertainty, congestion, and energy constraints
Massachusetts Institute of Technology, 2013
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2013 51 59.6%
Probabilistic analysis of the Held and Karp lower bound for the Euclidean traveling salesman problem
Mathematics of operations research 16 (1), 72-89, 1991
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1991 47 59.3%
From fluid relaxations to practical algorithms for job shop scheduling: the makespan objective
Mathematical Programming 92, 61-102, 2002
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2002 58 57.9%
Decomposable markov decision processes: A fluid optimization approach
Operations Research 64 (6), 1537-1555, 2016
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2016 40 57.7%
An integer optimization approach to associative classification
Advances in neural information processing systems, 269-277, 2012
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2012 50 57.6%
An exact FCFS waiting time analysis for a general class of G/G/s queueing systems
Queueing Systems 3, 305-320, 1988
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1988 44 57.5%
Selecting children with vesicoureteral reflux who are most likely to benefit from antibiotic prophylaxis: application of machine learning to RIVUR
The Journal of Urology 205 (4), 1170-1179, 2021
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2021 17 57.3%
Robust convex optimization: A new perspective that unifies and extends
Mathematical Programming 200 (2), 877-918, 2023
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2023 6 57.1%
Branching bandits and Klimov's problem: Achievable region and side constraints
IEEE Transactions on Automatic Control 40 (12), 2063-2075, 1995
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1995 46 56.7%
A new algebraic geometry algorithm for integer programming
Management Science 46 (7), 999-1008, 2000
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2000 55 56.7%
From fluid relaxations to practical algorithms for high-multiplicity job-shop scheduling: The holding cost objective
Operations Research 51 (5), 798-813, 2003
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2003 55 56.7%
Optimal healthcare decision making under multiple mathematical models: application in prostate cancer screening
Health care management science 21, 105-118, 2018
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2018 31 56.1%
Performance analysis of queueing networks via robust optimization
Operations research 59 (2), 455-466, 2011
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2011 48 55.9%
Probabilistic guarantees in robust optimization
SIAM Journal on Optimization 31 (4), 2893-2920, 2021
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2021 16 55.5%
Benchmarking in Congenital Heart Surgery Using Machine Learning-Derived Optimal Classification Trees
World Journal for Pediatric and Congenital Heart Surgery 13 (1), 23-35, 2022
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2022 10 55.5%
An exact and interpretable solution to wordle
Preprint, submitted September 20, 2022
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2022 10 55.5%
Validation of the artificial intelligence–based trauma outcomes predictor (TOP) in patients 65 years and older
Surgery 171 (6), 1687-1694, 2022
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2022 10 55.5%
Robust and data-driven approaches to call centers
European Journal of Operational Research 207 (2), 1072-1085, 2010
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2010 48 55.4%
On the approximability of adjustable robust convex optimization under uncertainty
Mathematical Methods of Operations Research 77, 323-343, 2013
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2013 42 54.6%
Robust maximum likelihood estimation
INFORMS Journal on Computing 31 (3), 445-458, 2019
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2019 25 54.4%
Learning preferences under noise and loss aversion: An optimization approach
Operations Research 61 (5), 1190-1199, 2013
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2013 41 54.1%
Data-driven transit network design at scale
Operations Research 69 (4), 1118-1133, 2021
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2021 15 53.5%
Decomposition algorithms for analyzing transient phenomena in multiclass queueing networks in air transportation
Operations Research 43 (6), 995-1011, 1995
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1995 39 53.4%
Accept or decline? An analytics-based decision tool for kidney offer evaluation
Transplantation 101 (12), 2898-2904, 2017
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2017 31 53.1%
Robust optimization in electromagnetic scattering problems
Journal of Applied Physics 101 (7), 2007
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2007 44 52.6%
Dynamic classification of online customers
Proceedings of the 2003 SIAM international conference on data mining, 107-118, 2003
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2003 44 52.4%
The dynamic traveling repairman problem
Sloan School of Management, Massachusetts Institute of Technology, 1989
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1989 33 52.4%
Machine learning models for mitral valve replacement: A comparative analysis with the Society of Thoracic Surgeons risk score
Journal of Cardiac Surgery 37 (1), 18-28, 2022
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2022 9 52.3%
Adaptability via sampling
2007 46th IEEE Conference on Decision and Control, 4717-4722, 2007
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2007 43 52.1%
Short-term forecasting of COVID-19 in Germany and Poland during the second wave–a preregistered study
medRxiv, 2020.12. 24.20248826, 2020
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2020 19 51.8%
A critical survey of optimization models for tactical and strategic aspects of air traffic flow management
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1997 39 51.8%
Hospital-wide inpatient flow optimization
Management Science, 2023
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2023 5 51.6%
Optimization over continuous and multi-dimensional decisions with observational data
Advances in neural information processing systems 31, 2018
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2018 26 51.2%
A semidefinite optimization approach to the steady-state analysis of queueing systems
Queueing Systems 56, 27-39, 2007
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2007 40 50.5%
Robust transient analysis of multi-server queueing systems and feed-forward networks
Queueing Systems 89, 351-413, 2018
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2018 25 50.1%
On the steady-state solution of the M/C 2 (a, b)/s queueing system
Transportation science 22 (2), 125-138, 1988
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1988 30 50.1%
Prediction of cervical spine injury in young pediatric patients: an optimal trees artificial intelligence approach
Journal of pediatric surgery 54 (11), 2353-2357, 2019
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2019 21 49.7%
Scheduling, revenue management, and fairness in an academic-hospital radiology division
Academic radiology 21 (10), 1322-1330, 2014
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2014 33 49.4%
A technique for speeding up the solution of the Lagrangean dual
Mathematical Programming 63, 23-45, 1994
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1994 30 48.2%
Multistage lot sizing problems via randomized rounding
Operations Research 49 (4), 599-608, 2001
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2001 33 47.7%
Bounds on linear PDEs via semidefinite optimization
Mathematical programming 108, 135-158, 2006
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2006 34 47.4%
Robust fluid processing networks
IEEE Transactions on Automatic Control 60 (3), 715-728, 2014
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2014 30 47.2%
Certifiably optimal sparse inverse covariance estimation
Mathematical Programming 184 (1-2), 491-530, 2020
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2020 16 46.9%
An analysis of the guaranteed withdrawal benefits for life option
Available at SSRN 1312727, 2008
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2008 32 46.3%
Multiclass queueing systems in heavy traffic: an asymptotic approach based on distributional and conservation laws
Operations Research 45 (3), 470-487, 1997
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1997 28 45.8%
Automated dynamic resource allocation for wildfire suppression
Lincoln Laboratory Journal 22 (2), 38-59, 2017
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2017 23 45.4%
On the worst case complexity of potential reduction algorithms for linear programming
Mathematical Programming 77, 321-333, 1997
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1997 27 45.2%
Bus routing optimization helps Boston public schools design better policies
INFORMS Journal on Applied Analytics 50 (1), 37-49, 2020
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2020 15 45.1%
Global optimization via optimal decision trees
Journal of Global Optimization, 1-41, 2023
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2023 4 44.5%
A prescriptive machine learning approach to mixed-integer convex optimization
INFORMS Journal on Computing 35 (6), 1225-1241, 2023
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2023 4 44.5%
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach
Journal of Machine Learning Research 24, 1-51, 2023
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2023 4 44.5%
Pareto Adaptive Robust Optimality via a Fourier–Motzkin Elimination lens
Mathematical Programming, 1-54, 2023
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2023 4 44.5%
Global Flood Prediction: a Multimodal Machine Learning Approach
arXiv preprint arXiv:2301.12548, 2023
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2023 4 44.5%
Robust chirped mirrors
Applied optics 47 (14), 2630-2636, 2008
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2008 29 44.4%
A robust optimization approach to finance
Massachusetts Institute of Technology, 2002
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2002 28 44.3%
Prediction of neutropenic events in chemotherapy patients: A machine learning approach
JCO Clinical Cancer Informatics 5, 904-911, 2021
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2021 11 44.2%
Optimization of polling systems and dynamic vehicle routing problems on networks
Massachusetts Institute of Technology, Operations Research Center, 1993
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1993 22 44.0%
Clinical benefit, toxicity and cost of metastatic breast cancer therapies: systematic review and meta-analysis
Breast cancer research and treatment 176, 535-543, 2019
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2019 17 44.0%
Analysis of the stationary Ek/C2/s queueing system
European Journal of Operational Research 37 (2), 272-287, 1988
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1988 21 43.6%
Robust conic optimization
Under review in Math. Prog, 2004
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2004 28 43.5%
Improving air traffic management during thunderstorms
24th digital avionics systems conference 1, 3. D. 2-31, 2005
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2005 27 43.4%
Targeted workup after initial febrile urinary tract infection: using a novel machine learning model to identify children most likely to benefit from voiding cystourethrogram
The Journal of Urology 202 (1), 144-152, 2019
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2019 16 42.5%
Advances in robust and adaptive optimization: algorithms, software, and insights
Massachusetts Institute of Technology, 2016
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2016 22 42.2%
Multistage air traffic flow management under capacity uncertainty: a robust and adaptive optimization approach
AGIFORS-International Federation of Operational Research Societies, 2011
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2011 25 41.6%
On polyhedral and second-order cone decompositions of semidefinite optimization problems
Operations Research Letters 48 (1), 78-85, 2020
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2020 13 41.3%
Estimation of time-varying parameters in statistical models: an optimization approach
Proceedings of the tenth annual conference on Computational learning theory …, 1997
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1997 21 40.8%
Covariate-adaptive optimization in online clinical trials
Operations Research 67 (4), 1150-1161, 2019
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2019 15 40.8%
The airlift planning problem
Transportation Science 53 (3), 773-795, 2019
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2019 15 40.8%
Nonlinear formulations and improved randomized approximation algorithms for multicut problems
Integer Programming and Combinatorial Optimization: 4th International IPCO …, 1995
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1995 19 40.3%
A unified method to analyze overtake free queueing systems
Advances in applied probability 28 (2), 588-625, 1996
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1996 19 40.2%
Toward global food security: Transforming OCP through analytics
Informs Journal on Applied Analytics 52 (1), 90-107, 2022
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2022 6 39.9%
Distributionally robust causal inference with observational data
arXiv preprint arXiv:2210.08326, 2022
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2022 6 39.9%
Decomposition results for general polling systems and their applications
Queueing Systems 31, 295-316, 1999
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1999 20 39.2%
Robust nonconvex optimization for simulation-based problems
Operations Research, 2007
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2007 22 39.2%
Prescriptive analytics for reducing 30-day hospital readmissions after general surgery
PloS one 15 (9), e0238118, 2020
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2020 12 39.2%
Transient and busy period analysis of the GIG/1 Queue as a Hilbert factorization problem
Journal of applied probability 28 (4), 873-885, 1991
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1991 17 39.1%
Applications of optimization in probability, finance and revenue management
Massachusetts Institute of Technology, 1999
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1999 19 38.4%
Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients
Health Care Management Science 24, 339-355, 2021
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2021 9 38.3%
Prediction with missing data
stat 1050, 7, 2021
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2021 9 38.3%
Predictive and prescriptive methods in operations research and machine learning: an optimization approach
Massachusetts Institute of Technology, 2019
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2019 13 37.4%
Identifying exceptional responders in randomized trials: An optimization approach
Informs Journal on Optimization 1 (3), 187-199, 2019
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2019 13 37.4%
Optimization-based regimen method and system for personalized diabetes and diet management
US Patent App. 13/587,093, 2014
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2014 19 37.0%
Fast exact matrix completion: A unified optimization framework for matrix completion
The Journal of Machine Learning Research 21 (1), 9399-9441, 2020
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2020 11 36.9%
The rise and fall of the model for end-stage liver disease score and the need for an optimized machine learning approach for liver allocation
Current opinion in organ transplantation 25 (2), 122-125, 2020
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2020 11 36.9%
Data-driven approach to health care: applications using claims data
Massachusetts Institute of Technology, 2008
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2008 19 36.7%
The departure process from a
GI/G 1, 245-91, 1990
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1990 14 36.4%
An accelerated first-order method for solving SOS relaxations of unconstrained polynomial optimization problems
Optimization Methods and Software 28 (3), 424-441, 2013
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2013 18 35.6%
Data, models and decisions for large-scale stochastic optimization problems
Massachusetts Institute of Technology, 2016
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2016 16 35.3%
Policy Analytics in Public School Operations
Operations Research 71 (1), 289-313, 2023
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2023 3 35.0%
Sparse PCA: A geometric approach
Journal of Machine Learning Research 24 (32), 1-33, 2023
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2023 3 35.0%
Airline yield management in a dynamic network environment
Massachusetts Institute of Technology, 1995
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1995 14 35.0%
A comparison of Monte Carlo tree search and mathematical optimization for large scale dynamic resource allocation
arXiv preprint arXiv:1405.5498, 2014
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2014 17 34.9%
Analysis of LP relaxations for multiway and multicut problems
Networks: An International Journal 34 (2), 102-114, 1999
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1999 15 34.7%
Prescriptive machine learning for public policy: The case of immigration enforcement
Under review, 2022
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2022 5 34.6%
Data-driven Interpretable Policy Construction for Personalized Mobile Health
2022 IEEE International Conference on Digital Health (ICDH), 13-22, 2022
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2022 5 34.6%
Stable regression: On the power of optimization over randomization in training regression problems
The Journal of Machine Learning Research 21 (1), 9374-9398, 2020
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2020 10 34.6%
The parsimonious property of cut covering problems and its applications
Operations Research Letters 21 (3), 123-132, 1997
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1997 14 34.1%
Joint network pricing and resource allocation
Technical report, 2002
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2002 15 34.1%
A scalable algorithm for two-stage adaptive linear optimization
arXiv preprint arXiv:1807.02812, 2018
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2018 13 34.0%
Scalable robust and adaptive inventory routing
Optim. Online, 1-29, 2016
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2016 15 33.9%
Dynamic slot allocation with airline participation
Massachusetts Institute of Technology, 1995
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1995 13 33.7%
Relations between the prearrival and postdeparture state probabilities and the fcfs waiting time distribution in the Ek/G/s queue
Naval Research Logistics (NRL) 37 (1), 135-149, 1990
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1990 11 32.4%
A robust optimization approach to deep learning
arXiv preprint arXiv:2112.09279, 2021
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2021 7 31.6%
Bounds and policies for dynamic routing in loss networks
Operations research 47 (3), 379-394, 1999
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1999 12 31.2%
Regression and classification using optimal decision trees
2017 IEEE MIT undergraduate research technology conference (URTC), 1-4, 2017
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2017 12 30.8%
System-level optimization in wireless networks: managing interference and uncertainty via robust optimization
IEEE/ACM Transactions on Networking 20 (2), 339-352, 2012
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2012 14 30.8%
Applications of robust optimization to queueing and inventory systems
Massachusetts Institute of Technology, 2011
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2011 13 30.2%
A new local search algorithm for binary optimization
INFORMS Journal on Computing 25 (2), 208-221, 2013
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2013 13 29.8%
Computation of exact bootstrap confidence intervals: Complexity and deterministic algorithms
Operations Research 68 (3), 949-964, 2020
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2020 8 29.5%
From physical properties of transportation flows to demand estimation: An optimization approach
Transportation Science 52 (4), 1002-1011, 2018
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2018 10 28.8%
A robust optimization approach to statistical estimation problems by Apostolos G. Fertis.
Massachusetts Institute of Technology, 2009
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2009 11 28.6%
Introduction to the special issue on business analytics
Management Science 60 (6), 1351-1351, 2014
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2014 12 28.6%
Improving quality in cardiothoracic surgery: Exploiting the untapped potential of machine learning
The Annals of Thoracic Surgery 114 (6), 1995-2000, 2022
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2022 4 28.3%
Stable classification
The Journal of Machine Learning Research 23 (1), 13401-13453, 2022
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2022 4 28.3%
POTTER-ICU: An artificial intelligence smartphone-accessible tool to predict the need for intensive care after emergency surgery
Surgery 172 (1), 470-475, 2022
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2022 4 28.3%
Evaluation of individual and E NSEMBLE probabilistic forecasts of COVID-19 mortality in the US
medRxiv, 2021
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2021 6 27.9%
Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelligence–Based Model
JCO Clinical Cancer Informatics 5, 1220-1231, 2021
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2021 6 27.9%
Pricing algorithmic insurance
arXiv preprint arXiv:2106.00839, 2021
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2021 6 27.9%
Slowly varying regression under sparsity
arXiv preprint arXiv:2102.10773, 2021
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2021 6 27.9%
Optimizing over coherent risk measures and non-convexities: a robust mixed integer optimization approach
Computational Optimization and Applications 62, 613-639, 2015
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2015 11 27.4%
Learning a mixture of gaussians via mixed-integer optimization
INFORMS Journal on Optimization 1 (3), 221-240, 2019
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2019 8 27.1%
An aggregated dataset of clinical outcomes for covid-19 patients. 2020
URL: http://www. covidanalytics. io/dataset documentation, 2020
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2020 7 26.6%
Relative robust and adaptive optimization
INFORMS Journal on Computing 32 (2), 408-427, 2020
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2020 7 26.6%
Approximating integrals of multivariate exponentials: A moment approach
Operations research letters 36 (2), 205-210, 2008
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2008 9 25.6%
Decomposition methods for large scale stochastic and robust optimization problems
Massachusetts Institute of Technology, 2011
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2011 9 24.9%
Optimization of queueing networks: an optimal control appraoch
Massachusetts Institute of Technology, 1995
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1995 7 23.9%
The price of diversity
arXiv preprint arXiv:2107.03900, 2021
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2021 5 23.8%
Beyond impute-then-regress: Adapting prediction to missing data
arXiv preprint arXiv:2104.03158, 2021
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2021 5 23.8%
Stochastic optimization in supply chain networks: averaging robust solutions
Optimization Letters 14 (4), 839-855, 2020
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2020 6 23.5%
Semidefinite relaxations, multivariate normal distributions, and order statistics
Working Paper, Department of Management Science, The University of Iowa, 1997
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1997 7 23.4%
A discrete optimization approach to supervised ranking
Proceedings of the 5th INFORMS workshop on data mining and health …, 2010
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2010 8 23.2%
Integer optimization methods for machine learning
Massachusetts Institute of Technology, 2012
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2012 8 22.6%
Data-driven models for uncertainty and behavior
Massachusetts Institute of Technology, 2014
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2014 8 22.5%
On the equivalence of robust optimization and regularization in statistics
Submitted to Operations Research, 2009
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2009 7 22.4%
Machine learning for problems with missing and uncertain data with applications to personalized medicine
Massachusetts Institute of Technology, 2019
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2019 6 22.0%
Patient Outcome Predictions Improve Operations at a Large Hospital Network
arXiv preprint arXiv:2305.15629, 2023
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2023 2 21.8%
TabText: A Flexible and Contextual Approach to Tabular Data Representation
Jul, 2023
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2023 2 21.8%
Accelerating Vaccine Innovation for Emerging Infectious Diseases via Parallel Discovery
Entrepreneurship and Innovation Policy and the Economy 2 (1), 9-39, 2023
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2023 2 21.8%
Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions
arXiv preprint arXiv:2305.12292, 2023
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2023 2 21.8%
Improved randomized approximation algorithms for lot-sizing problems
International Conference on Integer Programming and Combinatorial …, 1996
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1996 6 21.7%
Multiperiod portfolio optimization in the presence of transaction costs
Massachusetts Institute of Technology, 1998
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1998 6 21.2%
Machine Learning Reimagined: The Promise of Interpretability to Combat Bias
Annals of Surgery 275 (6), e738-e739, 2022
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2022 3 21.0%
Option pricing without price dynamics: a probabilistic approach
arXiv preprint math/0612075, 2006
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2006 6 20.7%
Moment problems via semidefinite programming: Applications in probability and finance
INSEAD, 2000
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2000 6 20.6%
Novel target discovery of existing therapies: Path to personalized cancer therapy
Informs Journal on Optimization 2 (1), 1-13, 2020
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2020 5 20.1%
Tensor completion with noisy side information for the predcition of anti-cancer drug response
Submitted, 2019
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2019 5 19.1%
Van Ryzin and Sloan School of Management
An asymptotic determination of the minimum spanning tree and minimum …, 2003
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2003 5 18.5%
Applications of semidefinite optimization in stochastic project scheduling
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2002 5 18.4%
Greedy, randomized and approximate dynamic programming algorithms for facility location problems
View Details
1998 5 18.3%
Multistage finite adaptability: Application to air traffic control
Working Paper, Massachusetts Institute of Technology, 2006
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2006 5 18.2%
Option pricing without price dynamics: a geometric approach
Operations Research Center, MIT, working paper, 2004
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2004 5 18.2%
Multitarget tracking via mixed integer optimization
IEEE Transactions on Automatic Control 63 (11), 3627-3642, 2018
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2018 5 17.8%
Network information theory via robust optimization
View Details
2012 5 16.7%
Airport operations optimization
US Patent App. 13/176,033, 2013
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2013 5 16.6%
Personalized diabetes management: A robust optimization approach
Submitted, 2013
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2013 5 16.6%
The edge of optimization in large-scale vehicle routing for paratransit
Tech. rept. https://dbertsim. mit. edu/pdfs/papers/2020-yan-transporation …, 2020
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2020 4 16.6%
a Beccara
L., Canino, R., Dal Bello, M., Pezzetti, F., Pan, A., & Hellenic COVID-19 …, 2020
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2020 4 16.6%
Sparse hierarchical regression with polynomials
Machine Learning 109 (5), 973-997, 2020
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2020 4 16.6%
Distributionally robust control and optimization
ETH Zurich, 2015
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2015 5 16.5%
An analytics approach to hypertension treatment
Massachusetts Institute of Technology, 2014
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2014 5 16.4%
Robust and adaptive optimization: a tractable approach to optimization under uncertainty
NSF/CMMI/OR 0556106, 2005
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2005 4 15.7%
No-arbitrage bounds on american put options with a single maturity
Massachusetts Institute of Technology, 2006
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2006 4 15.6%
Integer optimization in data mining
Massachusetts Institute of Technology, 2003
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2003 4 15.5%
Finance without price dynamics
Massachusetts Institute of Technology, 2003
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2003 4 15.5%
A scalable algorithm for sparse and robust portfolios
arXiv 2018, 2018
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2018 4 14.8%
Robust communication via decentralized processing with unreliable backhaul links
SIAM Rev 53 (3), 464-501, 2011
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2011 4 14.5%
Patterns of heart attacks
Massachusetts Institute of Technology, 2010
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2010 4 14.5%
Sparse classification and phase transitions: A discrete optimization perspective. arXiv preprint arXiv: 171001352
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2017 4 14.5%
Frequency estimation in data streams: Learning the optimal hashing scheme
IEEE Transactions on Knowledge and Data Engineering, 2021
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2021 3 14.3%
Personalized diabetes management
Massachusetts Institute of Technology, 2013
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2013 4 14.1%
Call for papers—special issue of management science: business analytics: submission deadline: September 16, 2012 expected publication date: first quarter 2014
Management Science 58 (7), 1422-1422, 2012
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2012 4 14.1%
Ordered rules for classification: A discrete optimization approach to associative classification
Poster in Proceesings of Neural Information Processing Systems Foundations …, 2012
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2012 4 14.1%
On the power of nature in robust discrete optimization
preparation, 2012
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2012 4 14.1%
Length-of-stay and mortality prediction for a major hospital through interpretable machine learning
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2020 3 12.4%
Optimizing influenza vaccine composition: From predictions to prescriptions
Machine Learning for Healthcare Conference, 121-142, 2020
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2020 3 12.4%
Novel mixed integer optimization sparse regression approach in chemometrics
Analytica Chimica Acta 1137, 115-124, 2020
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2020 3 12.4%
The K-server problem via a modern optimization lens
European Journal of Operational Research 276 (1), 65-78, 2019
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2019 3 12.2%
Solving linear partial differential equations via semidefinite optimization
Massachusetts Institute of Technology, 2001
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2001 3 12.1%
Sparse regression over clusters: SparClur
Optimization Letters, 1-16, 2022
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2022 2 12.1%
Ensemble machine learning for personalized antihypertensive treatment
Naval Research Logistics (NRL) 69 (5), 669-688, 2022
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2022 2 12.1%
World-class interpretable poker
Machine Learning 111 (8), 3063-3083, 2022
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2022 2 12.1%
Multivariate exponential integral approximations: a moment approach
Technical Report, Operations Research Center, MIT, 2006
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2006 3 12.0%
A Critical Review of Optimization Models and Their Potential Application to the European Air Traffic Flow Management System
prepared for the NOAA Project of the European Commission (unpublished), 1996
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1996 3 11.9%
Optimal control of fluid tandem networks
Manuscript in preparation, 2002
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2002 3 11.9%
Geometry, moments, and semidefinite optimization
Proceedings of the 15th International Symposium on MTNS, 2002
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2002 3 11.9%
On a characterization of the minimum assignment and matching in the independent random model.
IPCO, 161-169, 1993
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1993 3 11.7%
Optimal control of queueing networks: A singular pertubation approach
9th INFORMS Applied Probability Conference, 1997
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1997 3 11.7%
Moment problems via semidefinite programming: Applications in probability and finance
Preprint, 2000
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2000 3 11.5%
Scheduling multiclass queueing networks and job shops using fluid and semidefinite relaxations
Massachusetts Institute of Technology, 1999
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1999 3 11.5%
Quality of care and drug surveillance: A data-driven perspective
Massachusetts Institute of Technology, 2008
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2008 3 11.5%
On the equivalence between robust optimization and regularization in statistics
Oper. Res, 2008
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2008 3 11.5%
Empirical comparison of robust, data driven and stochastic optimization
Massachusetts Institute of Technology, 2008
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2008 3 11.5%
Optimal data fitting: a moment approach
Research report, Sloan School of Management, MIT, Boston, MA, 2007
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2007 3 11.4%
How much cash should a bank maintain?: an optimization approach
Massachusetts Institute of Technology, 1991
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1991 3 11.4%
Transient and Busy Period Analysis of the GI/G/1 Queue: Solution as a Hilbert Problem
Journal of Applied Probability 28, 873-85, 1991
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1991 3 11.4%
Measuring quality in diabetes care: an expert-based statistical approach
SpringerPlus 2 (1), 1-10, 2013
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2013 3 10.9%
Essays on decision making under uncertainty
Massachusetts Institute of Technology, 2021
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2021 2 8.2%
Time series that are robust to regime changes
J. Mach. Learn. Res 21, 1-31, 2020
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2020 2 7.3%
Orfanoudaki Agni, Stellato Bartolomeo, Wiberg Holly, Gonzalez-Garcia Sara, Parra-Calderon Carlos Luis, Robinson Kenneth, Schneider Michelle, et al
Covid-19 mortality risk assessment. An international multi-center study, 2020
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2020 2 7.3%
Interpretable machine learning methods with applications to health care
Massachusetts Institute of Technology, 2020
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2020 2 7.3%
Stable classification
Journal of Machine Learning Research 20, 1-31, 2020
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2020 2 7.3%
Sparsity and robustness in modern statistical estimation
Massachusetts Institute of Technology, 2018
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2018 2 6.9%
Learning under uncertainty: an adaptive optimization perspective
Woking Paper, 2018
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2018 2 6.9%
Analysis and Optimization of the Emergency Department at Beth Israel Deaconess Medical Center via Simulation
Massachusetts Institute of Technology, 2008
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2008 2 6.9%
Constructing approximation algorithms via linear programming relaxations
Doctoral Thesis, MIT, Cambridge, MA., D. Bertsimas. 1996. On improved …, 1996
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1996 2 6.9%
Optimality of Affine Policies in Multi-Stage Robust Optimization LIDS Tech
Rep, 2009
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2009 2 6.8%
Models for minimax stochastic linear optimization problems with risk aversion. Submitted to
Mathematics of Operations Research, 2009
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2009 2 6.8%
Fairness in the Air Traffic Flow Management Problem
Transportation Science, submitted for publication, 2009
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2009 2 6.8%
Max-min fairness in the air traffic flow management problem
Working Paper, 2009
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2009 2 6.8%
Integer optimization methods for supervised ranking
Operations Research Center Working Paper Series OR, 388-11, 2011
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2011 2 6.7%
ORC; Ordered rules for classification
Oper. Res. Center, Mass. Inst. Tech., Working Paper OR 386-11, 2011
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2011 2 6.7%
Optimization under moment, robust, and data-driven models of uncertainty
Massachusetts Institute of Technology, 2010
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2010 2 6.6%
Optimal selling in online auction
Working Paper, e-Commerce Center, MIT, Boston, MA, 2003
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2003 2 6.6%
Queues: Theory & Applications
MIT, 1998
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1998 2 6.6%
Tax-Aware Multiperiod Portfolio Optimization
Cambridge, Mass, 1998
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1998 2 6.6%
Bounds for loss networks
preparation, 1994
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1994 2 6.6%
Polling model and vehicle routing problem
Technical Report, MIT, 1994
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1994 2 6.6%
A linear control approach to optimization of multiclass queueing networks
preparation, 1994
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1994 2 6.6%
Scheduling of multiclass queueing networks: Bounds on achievable performance
Massachusetts Institute of Technology, 1993
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1993 2 6.5%
Optimization of polling systems and dynamic vehicle routing problems on networks (1993)
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1993 2 6.5%
Simulation-based optimization for airline network yield management'
Working Paper, Massachusetts Institute of Technology, USA, 2000
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2000 2 6.5%
Insead Moment Problems Via Semidefinite Programming: Applications in Probability and Finance
ser. INSEAD working paper. INSEAD, 2000
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2000 2 6.5%
Channel coding via robust optimization, part 1: The case of a single channel
Submitted for publication, 2015
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2015 2 6.4%
The price of flexibility
submitted to Operations Research, 2015
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2015 2 6.4%
Analytics for improved cancer screening and treatment
Massachusetts Institute of Technology, 2015
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2015 2 6.4%
Semi-supervised approach to predictive analysis using temporal data
Military Operations Research 19 (1), 37-50, 2014
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2014 2 6.3%
From predictive to prescriptive analytics. arXiv preprint arXiv: 1402.5481
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2014 2 6.3%
Binary decision rules for multistage adaptive mixed-integer optimization. Optim
Online, 2014
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2014 2 6.3%
Unified Optimization of Traffic Flows through Airports
Proceedings of the 52 nd AGIFORS Annual Symposium, Scottsdale, United States, 2012
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2012 2 6.3%
Transient and busy period analysis of the Gl
G/l, 1991
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1991 2 6.2%
On the characteristic equation of general queueing systems
Massachusetts Institute of Technology, Operations Research Center, 1990
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1990 2 6.2%
The dynamic traveling repairman problem.(1989)
Sloan School of Management, Massachussets Institute of Technology, 1989
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1989 2 6.2%
The dynamic traveling repairman problem
Massachusetts Institute of Technology, Sloan School of Management, 1989
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1989 2 6.2%
Stochastic and dynamic vehicle routing in Euclidean service regions
Massachusetts Institute of Technology, 1991
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1991 1 0.0%
An Optimization Approach to Credit Risk
Work, 2002
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2002 1 0.0%
Reducing variability in equipment availability at Intel using systems optimization
Massachusetts Institute of Technology, 2004
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2004 1 0.0%
Algorithmic prediction of health care costs and discovery of medical knowledge
Operations Research 56, 2007
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2007 1 0.0%
Data-driven dynamic optimization with auxiliary covariates
Massachusetts Institute of Technology, 2019
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2019 1 0.0%
The edge of large-scale optimization in transportation and machine learning
Massachusetts Institute of Technology, 2019
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2019 1 0.0%
Stochastic cutting planes for data-driven optimization
INFORMS Journal on Computing 34 (5), 2400-2409, 2022
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2022 1 0.0%
Automated Segmentation of Sacral Chordoma and Surrounding Muscles Using Deep Learning Ensemble
International Journal of Radiation Oncology* Biology* Physics 117 (3), 738-749, 2023
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2023 1 0.0%
High-performance pediatric surgical risk calculator: A novel algorithm based on machine learning and pediatric NSQIP data
The American Journal of Surgery, 2023
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2023 1 0.0%
Global Optimization: A Machine Learning Approach
arXiv preprint arXiv:2311.01742, 2023
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2023 1 0.0%
Development of a Machine Learning–Based Prescriptive Tool to Address Racial Disparities in Access to Care After Penetrating Trauma
JAMA surgery 158 (10), 1088-1095, 2023
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2023 1 0.0%
On the large deviations behaviour of acyclic networks of GIGII queues
LIDS Report: LIDS-P-2278, 1994
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1994 1 0.0%
Optimal bidding in on-line auctions
Working Paper, 2002
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2002 1 0.0%
Multistage air traffic flow management under capacity uncertainty: a robust and adaptive optimization approach
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2011 1 0.0%
Primal and dual approaches to adjustable robust optimization
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2018 1 0.0%
Accounting for significance and multicollinearity in building linear regression models
arXiv 2019, 2019
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2019 1 0.0%
Optimizing School Operations
Massachusetts Institute of Technology, 2021
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2021 1 0.0%
Sparsity in Machine Learning: Theory and Applications
Massachusetts Institute of Technology, 2022
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2022 1 0.0%
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach
arXiv preprint arXiv:2304.04308, 2023
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2023 1 0.0%
Stochastic and Dynamic Vehicle Routing with General Demand and Interarrival Time Distributions
Adv. Appl. Prob 25, 947-978, 1993
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1993 1 0.0%
Nonlinear formulations and improved randomized approximation algorithms for multiway and multicut problems
Sloan School of Management, Massachusetts Institute of Technology], 1995
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1995 1 0.0%
A robust optimization approach to online problems
Massachusetts Institute of Technology, 2017
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2017 1 0.0%
From data to decisions in urban transit and logistics
Massachusetts Institute of Technology, 2020
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2020 1 0.0%
Reshaping national organ allocation policy
Operations Research, 2023
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2023 1 0.0%
Multistage Stochastic Optimization via Kernels
arXiv preprint arXiv:2303.06515, 2023
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2023 1 0.0%
Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach
arXiv preprint arXiv:2307.12405, 2023
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2023 1 0.0%
Transient and busy period analysis of the GI/G/1 queue: Part II, solution as a Hilbert problem
Cambridge, Mass.: Center for Computational Research in Economics and …, 1989
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1989 1 0.0%
Advances in airline revenue management and pricing
Massachusetts Institute of Technology, 2003
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2003 1 0.0%
Least quantile of squares regression via modern optimization
arXiv preprint arXiv:1310.8625, 2013
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2013 1 0.0%
Holistic deep learning
Machine Learning, 1-25, 2023
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2023 1 0.0%
Optimal mean-variance bounds on the expectation of the highest order statistics
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2003 1 0.0%
Stochastic analysis via robust optimization
Massachusetts Institute of Technology, 2016
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2016 1 0.0%
Novel machine learning proves stroke risk is not linear
Stroke 51 (Suppl_1), A153-A153, 2020
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2020 1 0.0%
Dynamic optimization in the age of big data
Massachusetts Institute of Technology, 2020
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2020 1 0.0%
A Machine Learning Approach to Two-Stage Adaptive Robust Optimization
arXiv preprint arXiv:2307.12409, 2023
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2023 1 0.0%
Artificial intelligence versus surgeon gestalt in predicting risk of emergency general surgery
Journal of Trauma and Acute Care Surgery 95 (4), 565-572, 2023
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2023 1 0.0%
Holistic prescriptive analytics for continuous and constrained optimization problems
INFORMS Journal on Optimization 5 (2), 155-171, 2023
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2023 1 0.0%
Robust linear algebra
European Journal of Operational Research 314 (3), 1174-1184, 2024
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2024 1 0.0%
On the Relation Between Option and Stock Prices: A Convex Optimization Approach
WORKING PAPERS-INSEAD R AND D, 2000
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2000 1 0.0%
An accelerated first-order method for solving unconstrained polynomial optimization problems
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2011 1 0.0%
Early Detection of Opioid Over-Procurement: A Machine Learning Approach
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2020 1 0.0%
Interpretable clustering: an optimization approach
Machine Learning 110 (1), 89-138, 2021
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2021 1 0.0%
THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions
medRxiv, 2022.04. 09.22273656, 2022
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2022 1 0.0%
Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking Tool
The Annals of Thoracic Surgery, 2023
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2023 1 0.0%
Problems in discrete optimization
Massachusetts Institute of Technology, 1993
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1993 1 0.0%
RSS Research Workshop in Stochastic Networks
Edinburgh, August, 1995
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1995 1 0.0%
From data to decisions through new interfaces between optimization and statistics
Massachusetts Institute of Technology, 2015
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2015 1 0.0%
Combinatorial structures in online and convex optimization
Massachusetts Institute of Technology, 2017
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2017 1 0.0%
MP64-03 SELECTING CHILDREN WITH VUR WHO ARE MOST LIKELY TO BENEFIT FROM ANTIBIOTIC PROPHYLAXIS: APPLICATION OF MACHINE LEARNING TO RIVUR DATA
The Journal of Urology 201 (Supplement 4), e941-e941, 2019
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2019 1 0.0%
Optimizing influenza vaccine composition: A machine learning approach
Naval Research Logistics (NRL) 68 (7), 857-870, 2021
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2021 1 0.0%
Multi-Objective Optimization for Public Policy
Massachusetts Institute of Technology, 2022
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2022 1 0.0%
Compressed Sensing: A Discrete Optimization Approach
arXiv preprint arXiv:2306.04647, 2023
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2023 1 0.0%
A novel algorithm for a broad class of nonconvex optimization problems
Optimization Online, 2023
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2023 1 0.0%
Explainable vs. interpretable artificial intelligence frameworks in oncology
Translational Cancer Research 12 (2), 217, 2023
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2023 1 0.0%
Restless bandits, linear programming relaxations and a primal-dual index heuristic
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1994 1 0.0%
Buffer overflow probabilities in multiclass ATM switches
PROCEEDINGS OF THE ANNUAL ALLERTON CONFERENCE ON COMMUNICATION CONTROL AND …, 1996
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1996 1 0.0%
Relaxation and exact algorithms for solving mixed integer-quadratic optimization problems
Massachusetts Institute of Technology, 1999
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1999 1 0.0%
Machine Learning and Optimization: Introduction to the Special Issue
Informs Journal on Optimization 1 (3), 185-186, 2019
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2019 1 0.0%
Accelerating vaccine innovation for emerging infectious diseases via parallel discovery
National Bureau of Economic Research, 2022
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2022 1 0.0%
Tabtext: a systematic approach to aggregate knowledge across tabular data structures
arXiv preprint arXiv:2206.10381, 2022
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2022 1 0.0%
A Stochastic Benders Decomposition Scheme for Large-Scale Data-Driven Network Design
arXiv preprint arXiv:2303.07695, 2023
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2023 1 0.0%
Decarbonizing OCP
Manufacturing & Service Operations Management, 2023
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2023 1 0.0%