Publications: Aleksandrs Slivkins

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  • Affiliation: Senior Principal Researcher, Microsoft Research NYC
  • Google Scholar ID: f2x233wAAAAJ
  • Total Publications: 88

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Title Year Citations Score
Introduction to multi-armed bandits
Foundations and Trends in Machine Learning 12 (1-2), 1-286, 2019
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2019 1471 99.6%
Competing bandits: The perils of exploration under competition
ACM Transactions on Economics and Computation 13 (1), 1-47, 2025
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2025 78 98.8%
Bandits and experts in metric spaces
Journal of the ACM (JACM) 66 (4), 30, 2019
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2019 688 98.7%
Can large language models explore in-context?
Advances in Neural Information Processing Systems 37, 120124-120158, 2025
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2025 45 97.9%
Adversarial Bandits with Knapsacks
Journal of the ACM 69 (6), 1-47, 2022
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2022 168 97.8%
Bandits with knapsacks
Journal of the ACM (JACM) 65 (3), 13, 2018
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2018 593 97.8%
Bayesian exploration: Incentivizing exploration in Bayesian games
Operations Research 70 (2), 1105-1127, 2022
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2022 148 97.4%
Contextual bandits with similarity information
The Journal of Machine Learning Research 15 (1), 2533-2568, 2014
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2014 508 96.5%
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression
Journal of Machine Learning Research 25 (394), 1-37, 2024
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2024 44 95.8%
Autobidders with budget and roi constraints: Efficiency, regret, and pacing dynamics
The Thirty Seventh Annual Conference on Learning Theory, 3642-3643, 2024
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2024 44 95.8%
Meridian: A lightweight network location service without virtual coordinates
ACM SIGCOMM Computer Communication Review 35 (4), 85-96, 2005
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2005 585 95.1%
Corruption-robust exploration in episodic reinforcement learning
Conference on Learning Theory, 3242-3245, 2021
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2021 139 95.0%
Bayesian incentive-compatible bandit exploration
Operations Research 68 (4), 1132-1161, 2020
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2020 191 94.7%
Exploration and incentives in reinforcement learning
Operations Research 72 (3), 983-998, 2024
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2024 30 93.5%
The best of both worlds: stochastic and adversarial bandits
Conference on Learning Theory, 42.1-42.23, 2012
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2012 296 91.7%
Dynamic pricing with limited supply
ACM Transactions on Economics and Computation (TEAC) 3 (1), 4, 2015
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2015 224 90.9%
Incentivizing high quality crowdwork
Proceedings of the 24th International Conference on World Wide Web, 419-429, 2015
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2015 216 90.5%
Adaptive contract design for crowdsourcing markets: Bandit algorithms for repeated principal-agent problems
Journal of Artificial Intelligence Research 55, 317-359, 2016
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2016 179 89.3%
Strategic Budget Selection in a Competitive Autobidding World
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 213-224, 2024
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2024 19 89.0%
Characterizing truthful multi-armed bandit mechanisms
SIAM Journal on Computing 43 (1), 194-230, 2014
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2014 201 88.9%
Making contextual decisions with low technical debt
arXiv preprint arXiv:1606.03966, 2016
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2016 172 88.9%
One practical algorithm for both stochastic and adversarial bandits
International Conference on Machine Learning, 1287-1295, 2014
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2014 198 88.7%
Budget Pacing in Repeated Auctions: Regret and Efficiency without Convergence
arXiv preprint arXiv:2205.08674, 2022
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2022 42 88.3%
Triangulation and embedding using small sets of beacons
Journal of the ACM (JACM) 56 (6), 32, 2009
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2009 240 87.8%
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting
Journal of Machine Learning Research 21 (137), 1-45, 2020
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2020 89 87.2%
Contextual dueling bandits
COLT 2015 (Conference on Learning Theory), 2015
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2015 157 86.4%
Resourceful contextual bandits
Conference on Learning Theory, 1109-1134, 2014
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2014 162 86.0%
Ranked bandits in metric spaces: learning diverse rankings over large document collections
Journal of Machine Learning Research 14 (Feb), 399-436, 2013
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2013 163 85.0%
Adapting to a Changing Environment: the Brownian Restless Bandits.
COLT, 343-354, 2008
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2008 188 83.7%
Generative AI as Economic Agents
ACM SIGecom Exchanges 22 (1), 93-109, 2024
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2024 13 83.5%
Truthful mechanisms with implicit payment computation
Journal of the ACM (JACM) 62 (2), 1-37, 2015
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2015 131 83.5%
Incentivizing Exploration with Selective Data Disclosure
ACM Conference on Economics and Computation, 2020
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2020 68 83.1%
The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity
Proceedings of the 22nd ACM Conference on Economics and Computation, 795-796, 2021
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2021 47 82.5%
Constrained episodic reinforcement learning in concave-convex and knapsack settings
Advances in Neural Information Processing Systems 33, 16315-16326, 2020
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2020 65 82.3%
Oracle-efficient pessimism: Offline policy optimization in contextual bandits
International Conference on Artificial Intelligence and Statistics, 766-774, 2024
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2024 12 82.3%
Bandit Social Learning under Myopic Behavior
Advances in Neural Information Processing Systems 36, 2024
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2024 12 82.3%
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
Proceedings of the AAAI Conference on Artificial Intelligence 39 (13), 13814 …, 2025
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2025 6 80.9%
The externalities of exploration and how data diversity helps exploitation
COLT 2018 (Conference on Learning Theory), 2018
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2018 86 80.7%
Distance estimation and object location via rings of neighbors
Distributed Computing 19 (4), 313-333, 2007
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2007 149 79.0%
Online decision making in crowdsourcing markets: Theoretical challenges
ACM SIGecom Exchanges 12 (2), 4-23, 2013
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2013 105 76.9%
Parameterized tractability of edge-disjoint paths on directed acyclic graphs
SIAM Journal on Discrete Mathematics 24 (1), 146-157, 2010
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2010 125 76.8%
Combinatorial Semi-Bandits with Knapsacks
AISTATS (Intl. Conf. on Artificial Intelligence and Statistics), 1760-1770, 2018
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2018 68 76.0%
Bayesian Exploration with Heterogeneous Agents
The World Wide Web Conference, 751-761, 2019
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2019 55 75.4%
Efficient contextual bandits with continuous actions
Advances in Neural Information Processing Systems 33, 349-360, 2020
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2020 44 74.3%
Metric embeddings with relaxed guarantees
SIAM Journal on Computing 38 (6), 2303-2329, 2009
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2009 110 74.2%
Algorithmic persuasion through simulation
arXiv preprint arXiv:2311.18138, 2023
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2023 11 73.7%
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
arXiv preprint arXiv:2403.00188, 2024
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2024 8 73.0%
Exploration and persuasion
Online and Matching-Based Market Design, F. Echenique, N. Immorlica, and V …, 2023
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2023 10 71.4%
Incentivizing combinatorial bandit exploration
Advances in Neural Information Processing Systems 35, 37173-37183, 2022
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2022 17 70.8%
Bandits with knapsacks beyond the worst case
Advances in Neural Information Processing Systems 34, 23191-23204, 2021
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2021 27 70.1%
Adaptive Discretization for Adversarial Lipschitz Bandits
Conference on Learning Theory (COLT), 3788-3805, 2021
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2021 26 69.2%
Adaptive crowdsourcing algorithms for the bandit survey problem
Conference on learning theory, 882-910, 2013
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2013 72 68.3%
Network failure detection and graph connectivity
SIAM Journal on Computing 38 (4), 1330-1346, 2008
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2008 81 66.7%
Multi-armed bandits on implicit metric spaces
Advances in Neural Information Processing Systems 24, 2011
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2011 70 65.2%
Multidimensional dynamic pricing for welfare maximization
ACM Transactions on Economics and Computation (TEAC) 8 (1), 1-35, 2020
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2020 29 63.7%
Identifying subgraphs in transformed social network graphs
US Patent 9,439,053, 2016
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2016 44 60.4%
Low-distortion inference of latent similarities from a multiplex social network
SIAM Journal on Computing 44 (3), 617-668, 2015
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2015 42 56.9%
Selection and influence in cultural dynamics
Network Science 4 (1), 1-27, 2016
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2016 36 54.8%
How many workers to ask?: Adaptive exploration for collecting high quality labels
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
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2016 35 54.1%
Distributed approaches to triangulation and embedding
Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete …, 2005
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2005 39 50.3%
Dynamic ad allocation: Bandits with budgets
arXiv preprint arXiv:1306.0155, 2013
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2013 34 49.4%
Harvesting Randomness to Optimize Distributed Systems
Proceedings of the 16th ACM Workshop on Hot Topics in Networks, 178-184, 2017
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2017 23 45.4%
Should You Use Your Large Language Model to Explore or Exploit?
arXiv preprint arXiv:2502.00225, 2025
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2025 2 44.3%
Multi-parameter mechanisms with implicit payment computation
Proceedings of the fourteenth ACM conference on Electronic commerce, 35-52, 2013
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2013 24 41.4%
Beating Greedy For Approximating Reserve Prices in Multi-Unit VCG Auctions
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA …, 2021
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2021 10 41.3%
Truthful Online Scheduling of Cloud Workloads under Uncertainty
Proceedings of the ACM Web Conference 2022, 151-161, 2022
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2022 6 39.9%
Approximate matching for peer-to-peer overlays with cubit
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2008 20 37.6%
Towards fast decentralized construction of locality-aware overlay networks
Proceedings of the twenty-sixth annual ACM symposium on Principles of …, 2007
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2007 20 37.6%
Incentivizing exploration via information asymmetry
XRDS: Crossroads, The ACM Magazine for Students 24 (1), 38-41, 2017
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2017 13 32.5%
Oscillations with TCP-like flow control in networks of queues
INFOCOM 2006 (5th IEEE Intl. Conf. on Computer Communications), 2006
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2006 14 32.5%
Application testing
US Patent 11,182,280, 2021
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2021 6 27.9%
Application testing
US Patent 10,284,664, 2019
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2019 8 27.1%
A Polynomial Time Algorithm for Spatio-Temporal Security Games
Proceedings of the 2017 ACM Conference on Economics and Computation, 697-714, 2017
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2017 9 25.7%
Incentivized Exploration via Filtered Posterior Sampling
Proceedings of the 25th ACM Conference on Economics and Computation, 1200-1200, 2024
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2024 2 25.7%
Monotone multi-armed bandit allocations
Proceedings of the 24th Annual Conference on Learning Theory, 829-834, 2011
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2011 7 21.5%
Embedding, distance estimation and object location in networks
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2006 6 20.7%
Learning diverse rankings over document collections
US Patent App. 12/764,112, 2011
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2011 6 19.5%
Adapting to the shifting intent of search queries
Advances in Neural Information Processing Systems, 1829-1837, 2009
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2009 5 17.9%
Interleaving schemes on circulant graphs with two offsets
Discrete Mathematics 309 (13), 4384-4398, 2009
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2009 5 17.9%
Dynamic Pricing Under Model Uncertainty
Tutorial given at the 16th ACM Conference on Economics and Computation, 2015
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2015 5 16.5%
Tutorial: incentivizing and coordinating exploration
Proceedings of the 18th ACM conference on economics and computation, Cambridge, 2017
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2017 4 14.5%
Crowdsourcing gold-hit creation at scale: Challenges and adaptive exploration approaches
HCOMP 2013 workshop, 2013
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2013 4 14.1%
Multiworld testing decision service: A system for experimentation, learning, and decision-making
Whitepaper of Microsoft, 1-40, 2016
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2016 4 13.7%
Sayer: Using Implicit Feedback to Optimize System Policies
Proceedings of the ACM Symposium on Cloud Computing, 273-288, 2021
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2021 2 8.2%
On Fixed-parameter tractability of some routing problems
Cornell University, 2002
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2002 2 6.9%
Robust Multi-objective Learning with Mentor Feedback
Conference on Learning Theory, 726-741, 2014
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2014 2 6.3%
Payment determination in auctions
US Patent App. 12/939,192, 2012
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2012 2 6.3%
The Agentic Economy
arXiv preprint arXiv:2505.15799, 2025
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2025 1 0.0%