Aleksandrs Slivkins

167 papers A* 56A 4B 1Misc 1Journal 101Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Markets: Equilibrium Effects of Improving Consumer Search. CoRR Brendan Lucier, Nicole Immorlica, Markus Mobius, Aleksandrs Slivkins, Daniel G. Goldstein, Jake M. Hofman, Sonia Jaffe, David M. Rothschild
2026	J	`jnl`	Bandit Social Learning with Exploration Episodes. CoRR Kiarash Banihashem, Natalie Collina, Aleksandrs Slivkins
2026	J	`jnl`	The Agentic Economy. Commun. ACM David M. Rothschild, Markus Mobius, Jake M. Hofman, Eleanor Dillon, Daniel G. Goldstein, Nicole Immorlica, Sonia Jaffe, Brendan Lucier, Aleksandrs Slivkins, Matthew Vogel
2025	J	`jnl`	Competing Bandits: The Perils of Exploration Under Competition. ACM Trans. Economics and Comput. Guy Aridor, Yishay Mansour, Aleksandrs Slivkins, Steven Wu
2025	J	`jnl`	Corruption-Robust Exploration in Episodic Reinforcement Learning. Math. Oper. Res. Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
2025	J	`jnl`	Greedy Algorithm for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure. CoRR Aleksandrs Slivkins, Yunzong Xu, Shiliang Zuo
2025	J	`jnl`	Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets. CoRR Gagan Bansal, Wenyue Hua, Zezhou Huang, Adam Fourney, Amanda Swearngin, Will Epperson, Tyler Payne, Jake M. Hofman, Brendan Lucier, Chinmay Singh, Markus Mobius, Akshay Nambi, Archana Yadav, Kevin Gao, David M. Rothschild, Aleksandrs Slivkins, Daniel G. Goldstein, Hussein Mozannar, Nicole Immorlica, Maya Murad, Matthew Vogel, Subbarao Kambhampati, Eric Horvitz, Saleema Amershi
2025	A*	`conf`	Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents. AAAI Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins
2025	J	`jnl`	Should You Use Your Large Language Model to Explore or Exploit? CoRR Keegan Harris, Aleksandrs Slivkins
2025	J	`jnl`	The Agentic Economy. CoRR David M. Rothschild, Markus Mobius, Jake M. Hofman, Eleanor Wiske Dillon, Daniel G. Goldstein, Nicole Immorlica, Sonia Jaffe, Brendan Lucier, Aleksandrs Slivkins, Matthew Vogel
2024	A*	`conf`	Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics. COLT Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang
2024	A*	`conf`	Can large language models explore in-context? NeurIPS Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster, Cyril Zhang, Aleksandrs Slivkins
2024	J	`jnl`	Can large language models explore in-context? CoRR Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster, Cyril Zhang, Aleksandrs Slivkins
2024	A*	`conf`	Content Filtering with Inattentive Information Consumers. AAAI Ian Ball, James W. Bono, Justin Grana, Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins
2024	J	`jnl`	Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression. J. Mach. Learn. Res. Aleksandrs Slivkins, Xingyu Zhou, Karthik Abinav Sankararaman, Dylan J. Foster
2024	J	`jnl`	Exploration and Incentives in Reinforcement Learning. Oper. Res. Max Simchowitz, Aleksandrs Slivkins
2024	J	`jnl`	Exploration and Persuasion. CoRR Aleksandrs Slivkins
2024	J	`jnl`	Generative AI as Economic Agents. SIGecom Exch. Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins
2024	A*	`conf`	Impact of Decentralized Learning on Player Utilities in Stackelberg Games. ICML Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins
2024	J	`jnl`	Impact of Decentralized Learning on Player Utilities in Stackelberg Games. CoRR Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins
2024	A*	`conf`	Incentivized Exploration via Filtered Posterior Sampling. EC Yonatan Gur, Anand Kalvit, Aleksandrs Slivkins
2024	J	`jnl`	Incentivized Exploration via Filtered Posterior Sampling. CoRR Anand Kalvit, Aleksandrs Slivkins, Yonatan Gur
2024	A*	`conf`	Strategic Budget Selection in a Competitive Autobidding World. STOC Yiding Feng, Brendan Lucier, Aleksandrs Slivkins
2023	J	`jnl`	Algorithmic Persuasion Through Simulation: Information Design in the Age of Generative AI. CoRR Keegan Harris, Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins
2023	J	`jnl`	Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics. CoRR Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang
2023	A*	`conf`	Bandit Social Learning under Myopic Behavior. NeurIPS Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
2023	J	`jnl`	Bandit Social Learning: Exploration under Myopic Behavior. CoRR Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
2023	A	`conf`	Budget Pacing in Repeated Auctions: Regret and Efficiency Without Convergence. ITCS Jason Gaitonde, Yingkai Li, Bar Light, Brendan Lucier, Aleksandrs Slivkins
2023	A*	`conf`	Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression. COLT Aleksandrs Slivkins, Karthik Abinav Sankararaman, Dylan J. Foster
2023	J	`jnl`	Greedy Algorithm Almost Dominates in Smoothed Contextual Bandits. SIAM J. Comput. Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu
2023	J	`jnl`	Oracle-Efficient Pessimism: Offline Policy Optimization in Contextual Bandits. CoRR Lequn Wang, Akshay Krishnamurthy, Aleksandrs Slivkins
2023	J	`jnl`	Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents. CoRR Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins
2023	J	`jnl`	Strategic Budget Selection in a Competitive Autobidding World. CoRR Yiding Feng, Brendan Lucier, Aleksandrs Slivkins
2023	J	`jnl`	The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity. Oper. Res. Mark Sellke, Aleksandrs Slivkins
2022	J	`jnl`	Adversarial Bandits with Knapsacks. J. ACM Nicole Immorlica, Karthik Abinav Sankararaman, Robert E. Schapire, Aleksandrs Slivkins
2022	J	`jnl`	Budget Pacing in Repeated Auctions: Regret and Efficiency without Convergence. CoRR Jason Gaitonde, Yingkai Li, Bar Light, Brendan Lucier, Aleksandrs Slivkins
2022	J	`jnl`	Efficient Contextual Bandits with Knapsacks via Regression. CoRR Aleksandrs Slivkins, Dylan J. Foster
2022	A*	`conf`	Incentivizing Combinatorial Bandit Exploration. NeurIPS Xinyan Hu, Dung Daniel T. Ngo, Aleksandrs Slivkins, Zhiwei Steven Wu
2022	J	`jnl`	Incentivizing Combinatorial Bandit Exploration. CoRR Xinyan Hu, Dung Daniel T. Ngo, Aleksandrs Slivkins, Zhiwei Steven Wu
2022	J	`jnl`	Incentivizing Participation in Clinical Trials. CoRR Yingkai Li, Aleksandrs Slivkins
2022	A*	`conf`	Truthful Online Scheduling of Cloud Workloads under Uncertainty. WWW Moshe Babaioff, Ronny Lempel, Brendan Lucier, Ishai Menache, Aleksandrs Slivkins, Sam Chiu-wai Wong
2022	J	`jnl`	Truthful Online Scheduling of Cloud Workloads under Uncertainty. CoRR Moshe Babaioff, Ronny Lempel, Brendan Lucier, Ishai Menache, Aleksandrs Slivkins, Sam Chiu-wai Wong
2021	A*	`conf`	Bandits with Knapsacks beyond the Worst Case. NeurIPS Karthik Abinav Sankararaman, Aleksandrs Slivkins
2021	A*	`conf`	Beating Greedy For Approximating Reserve Prices in Multi-Unit VCG Auctions. SODA Mahsa Derakhshan, David M. Pennock, Aleksandrs Slivkins
2021	J	`jnl`	Exploration and Incentives in Reinforcement Learning. CoRR Max Simchowitz, Aleksandrs Slivkins
2021	—	`conf`	Sayer: Using Implicit Feedback to Optimize System Policies. SoCC Mathias Lécuyer, Sang Hoon Kim, Mihir Nanavati, Junchen Jiang, Siddhartha Sen, Aleksandrs Slivkins, Amit Sharma
2021	J	`jnl`	Sayer: Using Implicit Feedback to Optimize System Policies. CoRR Mathias Lécuyer, Sang Hoon Kim, Mihir Nanavati, Junchen Jiang, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins
2021	A*	`conf`	The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity. EC Mark Sellke, Aleksandrs Slivkins
2020	J	`jnl`	Adaptive Discretization for Adversarial Bandits with Continuous Action Spaces. CoRR Chara Podimata, Aleksandrs Slivkins
2020	J	`jnl`	Advances in Bandits with Knapsacks. CoRR Karthik Abinav Sankararaman, Aleksandrs Slivkins
2020	J	`jnl`	Bayesian Incentive-Compatible Bandit Exploration. Oper. Res. Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis
2020	J	`jnl`	Beating Greedy For Approximating Reserve Prices in Multi-Unit VCG Auctions. CoRR Mahsa Derakhshan, David M. Pennock, Aleksandrs Slivkins
2020	J	`jnl`	Book announcement: Introduction to Multi-Armed Bandits. SIGecom Exch. Aleksandrs Slivkins
2020	J	`jnl`	Competing Bandits: The Perils of Exploration Under Competition. CoRR Guy Aridor, Yishay Mansour, Aleksandrs Slivkins, Zhiwei Steven Wu
2020	A*	`conf`	Constrained episodic reinforcement learning in concave-convex and knapsack settings. NeurIPS Kianté Brantley, Miroslav Dudík, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
2020	J	`jnl`	Constrained episodic reinforcement learning in concave-convex and knapsack settings. CoRR Kianté Brantley, Miroslav Dudík, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
2020	J	`jnl`	Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting. J. Mach. Learn. Res. Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang
2020	A*	`conf`	Efficient Contextual Bandits with Continuous Actions. NeurIPS Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins
2020	J	`jnl`	Efficient Contextual Bandits with Continuous Actions. CoRR Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins
2020	J	`jnl`	Greedy Algorithm almost Dominates in Smoothed Contextual Bandits. CoRR Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu
2020	A*	`conf`	Incentivizing Exploration with Selective Data Disclosure. EC Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2020	J	`jnl`	Multidimensional Dynamic Pricing for Welfare Maximization. ACM Trans. Economics and Comput. Aaron Roth, Aleksandrs Slivkins, Jonathan R. Ullman, Zhiwei Steven Wu
2020	J	`jnl`	Sample Complexity of Incentivized Exploration. CoRR Mark Sellke, Aleksandrs Slivkins
2019	A*	`conf`	Adversarial Bandits with Knapsacks. FOCS Nicole Immorlica, Karthik Abinav Sankararaman, Robert E. Schapire, Aleksandrs Slivkins
2019	J	`jnl`	Bandits and Experts in Metric Spaces. J. ACM Robert Kleinberg, Aleksandrs Slivkins, Eli Upfal
2019	A*	`conf`	Bayesian Exploration with Heterogeneous Agents. WWW Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2019	J	`jnl`	Bayesian Exploration with Heterogeneous Agents. CoRR Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2019	J	`jnl`	Competing Bandits: The Perils of Exploration under Competition. CoRR Guy Aridor, Kevin Liu, Aleksandrs Slivkins, Zhiwei Steven Wu
2019	J	`jnl`	Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting. CoRR Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang
2019	A*	`conf`	Contextual bandits with continuous actions: Smoothing, zooming, and adapting. COLT Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang
2019	J	`jnl`	Corruption Robust Exploration in Episodic Reinforcement Learning. CoRR Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
2019	J	`jnl`	Introduction to Multi-Armed Bandits. CoRR Aleksandrs Slivkins
2019	J	`jnl`	Introduction to Multi-Armed Bandits. Found. Trends Mach. Learn. Aleksandrs Slivkins
2019	A*	`conf`	The Perils of Exploration under Competition: A Computational Modeling Approach. EC Guy Aridor, Kevin Liu, Aleksandrs Slivkins, Zhiwei Steven Wu
2018	J	`jnl`	Adversarial Bandits with Knapsacks. CoRR Nicole Immorlica, Karthik Abinav Sankararaman, Robert E. Schapire, Aleksandrs Slivkins
2018	J	`jnl`	Bandits with Knapsacks. J. ACM Ashwinkumar Badanidiyuru, Robert Kleinberg, Aleksandrs Slivkins
2018	A	`conf`	Combinatorial Semi-Bandits with Knapsacks. AISTATS Karthik Abinav Sankararaman, Aleksandrs Slivkins
2018	A	`conf`	Competing Bandits: Learning Under Competition. ITCS Yishay Mansour, Aleksandrs Slivkins, Zhiwei Steven Wu
2018	J	`jnl`	Incentivizing Exploration with Unbiased Histories. CoRR Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2018	A*	`conf`	The Externalities of Exploration and How Data Diversity Helps Exploitation. COLT Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu
2018	J	`jnl`	The Externalities of Exploration and How Data Diversity Helps Exploitation. CoRR Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu
2017	A*	`conf`	A Polynomial Time Algorithm for Spatio-Temporal Security Games. EC Soheil Behnezhad, Mahsa Derakhshan, Mohammad Taghi Hajiaghayi, Aleksandrs Slivkins
2017	J	`jnl`	A Polynomial Time Algorithm for Spatio-Temporal Security Games. CoRR Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Aleksandrs Slivkins
2017	J	`jnl`	Competing Bandits: Learning under Competition. CoRR Yishay Mansour, Aleksandrs Slivkins, Zhiwei Steven Wu
2017	Misc	`conf`	Harvesting Randomness to Optimize Distributed Systems. HotNets Mathias Lécuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins
2017	J	`jnl`	Incentivizing exploration via information asymmetry. XRDS Aleksandrs Slivkins
2017	A*	`conf`	Multidimensional Dynamic Pricing for Welfare Maximization. EC Aaron Roth, Aleksandrs Slivkins, Jonathan R. Ullman, Zhiwei Steven Wu
2017	J	`jnl`	Semi-Bandits with Knapsacks. CoRR Karthik Abinav Sankararaman, Aleksandrs Slivkins
2016	J	`jnl`	Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems. J. Artif. Intell. Res. Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan
2016	A*	`conf`	Bayesian Exploration: Incentivizing Exploration in Bayesian Games. EC Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis, Zhiwei Steven Wu
2016	J	`jnl`	Bayesian Exploration: Incentivizing Exploration in Bayesian Games. CoRR Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis, Zhiwei Steven Wu
2016	A*	`conf`	How Many Workers to Ask?: Adaptive Exploration for Collecting High Quality Labels. SIGIR Ittai Abraham, Omar Alonso, Vasilis Kandylas, Rajesh Patel, Steven Shelford, Aleksandrs Slivkins
2016	J	`jnl`	Multidimensional Dynamic Pricing for Welfare Maximization. CoRR Aaron Roth, Aleksandrs Slivkins, Jonathan R. Ullman, Zhiwei Steven Wu
2016	J	`jnl`	Selection and influence in cultural dynamics. Netw. Sci. David Kempe, Jon M. Kleinberg, Sigal Oren, Aleksandrs Slivkins
2015	A*	`conf`	Bayesian Incentive-Compatible Bandit Exploration. EC Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis
2015	J	`jnl`	Bayesian Incentive-Compatible Bandit Exploration. CoRR Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis
2015	A*	`conf`	Contextual Dueling Bandits. COLT Miroslav Dudík, Katja Hofmann, Robert E. Schapire, Aleksandrs Slivkins, Masrour Zoghi
2015	J	`jnl`	Contextual Dueling Bandits. CoRR Miroslav Dudík, Katja Hofmann, Robert E. Schapire, Aleksandrs Slivkins, Masrour Zoghi
2015	J	`jnl`	Dynamic Pricing with Limited Supply. ACM Trans. Economics and Comput. Moshe Babaioff, Shaddin Dughmi, Robert D. Kleinberg, Aleksandrs Slivkins
2015	A*	`conf`	Incentivizing High Quality Crowdwork. WWW Chien-Ju Ho, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan
2015	J	`jnl`	Incentivizing High Quality Crowdwork. CoRR Chien-Ju Ho, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan
2015	J	`jnl`	Incentivizing high quality crowdwork. SIGecom Exch. Chien-Ju Ho, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan
2015	J	`jnl`	Low-Distortion Inference of Latent Similarities from a Multiplex Social Network. SIAM J. Comput. Ittai Abraham, Shiri Chechik, David Kempe, Aleksandrs Slivkins
2015	J	`jnl`	Truthful Mechanisms with Implicit Payment Computation. J. ACM Moshe Babaioff, Robert D. Kleinberg, Aleksandrs Slivkins
2014	J	`jnl`	Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems. CoRR Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan
2014	A*	`conf`	Adaptive contract design for crowdsourcing markets: bandit algorithms for repeated principal-agent problems. EC Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan
2014	J	`jnl`	Characterizing Truthful Multi-armed Bandit Mechanisms. SIAM J. Comput. Moshe Babaioff, Yogeshwer Sharma, Aleksandrs Slivkins
2014	J	`jnl`	Contextual bandits with similarity information. J. Mach. Learn. Res. Aleksandrs Slivkins
2014	A*	`conf`	One Practical Algorithm for Both Stochastic and Adversarial Bandits. ICML Yevgeny Seldin, Aleksandrs Slivkins
2014	A*	`conf`	Resourceful Contextual Bandits. COLT Ashwinkumar Badanidiyuru, John Langford, Aleksandrs Slivkins
2014	J	`jnl`	Resourceful Contextual Bandits. CoRR Ashwinkumar Badanidiyuru, John Langford, Aleksandrs Slivkins
2014	A*	`conf`	Robust Multi-objective Learning with Mentor Feedback. COLT Alekh Agarwal, Ashwinkumar Badanidiyuru, Miroslav Dudík, Robert E. Schapire, Aleksandrs Slivkins
2014	B	`conf`	Using Worker Quality Scores to Improve Stopping Rules. HCOMP Ittai Abraham, Omar Alonso, Vasilis Kandylas, Rajesh Patel, Steven Shelford, Aleksandrs Slivkins
2014	J	`jnl`	Using Worker Quality Scores to Improve Stopping Rules. CoRR Ittai Abraham, Omar Alonso, Vasilis Kandylas, Rajesh Patel, Steven Shelford, Aleksandrs Slivkins
2013	J	`jnl`	Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem CoRR Ittai Abraham, Omar Alonso, Vasilis Kandylas, Aleksandrs Slivkins
2013	A*	`conf`	Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem. COLT Ittai Abraham, Omar Alonso, Vasilis Kandylas, Aleksandrs Slivkins
2013	J	`jnl`	Bandits and Experts in Metric Spaces. CoRR Robert Kleinberg, Aleksandrs Slivkins, Eli Upfal
2013	J	`jnl`	Bandits with Knapsacks CoRR Ashwinkumar Badanidiyuru, Robert Kleinberg, Aleksandrs Slivkins
2013	A*	`conf`	Bandits with Knapsacks. FOCS Ashwinkumar Badanidiyuru, Robert Kleinberg, Aleksandrs Slivkins
2013	J	`jnl`	Dynamic Ad Allocation: Bandits with Budgets. CoRR Aleksandrs Slivkins
2013	A*	`conf`	Low-distortion Inference of Latent Similarities from a Multiplex Social Network. SODA Ittai Abraham, Shiri Chechik, David Kempe, Aleksandrs Slivkins
2013	J	`jnl`	Multi-parameter Mechanisms with Implicit Payment Computation CoRR Moshe Babaioff, Robert Kleinberg, Aleksandrs Slivkins
2013	A*	`conf`	Multi-parameter mechanisms with implicit payment computation. EC Moshe Babaioff, Robert Kleinberg, Aleksandrs Slivkins
2013	J	`jnl`	Online Decision Making in Crowdsourcing Markets: Theoretical Challenges (Position Paper). CoRR Aleksandrs Slivkins, Jennifer Wortman Vaughan
2013	J	`jnl`	Online decision making in crowdsourcing markets: theoretical challenges. SIGecom Exch. Aleksandrs Slivkins, Jennifer Wortman Vaughan
2013	J	`jnl`	Ranked bandits in metric spaces: learning diverse rankings over large document collections. J. Mach. Learn. Res. Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
2013	J	`jnl`	Selection and Influence in Cultural Dynamics CoRR David Kempe, Jon M. Kleinberg, Sigal Oren, Aleksandrs Slivkins
2013	A*	`conf`	Selection and influence in cultural dynamics. EC David Kempe, Jon M. Kleinberg, Sigal Oren, Aleksandrs Slivkins
2012	A*	`conf`	Dynamic pricing with limited supply. EC Moshe Babaioff, Shaddin Dughmi, Robert Kleinberg, Aleksandrs Slivkins
2012	J	`jnl`	Low-distortion Inference of Latent Similarities from a Multiplex Social Network CoRR Ittai Abraham, Shiri Chechik, David Kempe, Aleksandrs Slivkins
2012	A*	`conf`	The Best of Both Worlds: Stochastic and Adversarial Bandits. COLT Sébastien Bubeck, Aleksandrs Slivkins
2012	J	`jnl`	The best of both worlds: stochastic and adversarial bandits CoRR Sébastien Bubeck, Aleksandrs Slivkins
2011	A*	`conf`	Contextual Bandits with Similarity Information. COLT Aleksandrs Slivkins
2011	J	`jnl`	Dynamic Pricing with Limited Supply CoRR Moshe Babaioff, Shaddin Dughmi, Robert Kleinberg, Aleksandrs Slivkins
2011	A*	`conf`	Monotone multi-armed bandit allocations. COLT Aleksandrs Slivkins
2011	—	`conf`	Multi-armed bandits on implicit metric spaces. NIPS Aleksandrs Slivkins
2010	J	`jnl`	Adapting to the Shifting Intent of Search Queries CoRR Umar Syed, Aleksandrs Slivkins, Nina Mishra
2010	J	`jnl`	Learning optimally diverse rankings over large document collections CoRR Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
2010	A*	`conf`	Learning optimally diverse rankings over large document collections. ICML Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
2010	J	`jnl`	Parameterized Tractability of Edge-Disjoint Paths on Directed Acyclic Graphs. SIAM J. Discret. Math. Aleksandrs Slivkins
2010	A*	`conf`	Sharp Dichotomies for Regret Minimization in Metric Spaces. SODA Robert Kleinberg, Aleksandrs Slivkins
2010	J	`jnl`	Truthful Mechanisms with Implicit Payment Computation CoRR Moshe Babaioff, Robert D. Kleinberg, Aleksandrs Slivkins
2010	A*	`conf`	Truthful mechanisms with implicit payment computation. EC Moshe Babaioff, Robert D. Kleinberg, Aleksandrs Slivkins
2009	—	`conf`	Adapting to the Shifting Intent of Search Queries. NIPS Umar Syed, Aleksandrs Slivkins, Nina Mishra
2009	A*	`conf`	Characterizing truthful multi-armed bandit mechanisms: extended abstract. EC Moshe Babaioff, Yogeshwer Sharma, Aleksandrs Slivkins
2009	J	`jnl`	Contextual Bandits with Similarity Information CoRR Aleksandrs Slivkins
2009	J	`jnl`	Interleaving schemes on circulant graphs with two offsets. Discret. Math. Aleksandrs Slivkins, Jehoshua Bruck
2009	J	`jnl`	Metric Embeddings with Relaxed Guarantees. SIAM J. Comput. T.-H. Hubert Chan, Kedar Dhamdhere, Anupam Gupta, Jon M. Kleinberg, Aleksandrs Slivkins
2009	J	`jnl`	Sharp Dichotomies for Regret Minimization in Metric Spaces CoRR Robert D. Kleinberg, Aleksandrs Slivkins
2009	J	`jnl`	Triangulation and embedding using small sets of beacons. J. ACM Jon M. Kleinberg, Aleksandrs Slivkins, Tom Wexler
2008	A*	`conf`	Adapting to a Changing Environment: the Brownian Restless Bandits. COLT Aleksandrs Slivkins, Eli Upfal
2008	J	`jnl`	Characterizing Truthful Multi-Armed Bandit Mechanisms CoRR Moshe Babaioff, Yogeshwer Sharma, Aleksandrs Slivkins
2008	J	`jnl`	Multi-Armed Bandits in Metric Spaces CoRR Robert Kleinberg, Aleksandrs Slivkins, Eli Upfal
2008	A*	`conf`	Multi-armed bandits in metric spaces. STOC Robert Kleinberg, Aleksandrs Slivkins, Eli Upfal
2008	J	`jnl`	Network Failure Detection and Graph Connectivity. SIAM J. Comput. Jon M. Kleinberg, Mark Sandler, Aleksandrs Slivkins
2008	J	`jnl`	Oscillations with TCP-like Flow Control in Networks of Queues CoRR Matthew Andrews, Aleksandrs Slivkins
2007	J	`jnl`	Distance estimation and object location via rings of neighbors. Distributed Comput. Aleksandrs Slivkins
2007	A*	`conf`	Towards fast decentralized construction of locality-aware overlay networks. PODC Aleksandrs Slivkins
2006	—	`—`	Embedding, Distance Estimation and Object Location in Networks. Aleksandrs Slivkins
2006	A*	`conf`	Oscillations with TCP-Like Flow Control in Networks of Queues. INFOCOM Matthew Andrews, Aleksandrs Slivkins
2005	A*	`conf`	Distance estimation and object location via rings of neighbors. PODC Aleksandrs Slivkins
2005	A*	`conf`	Distributed approaches to triangulation and embedding. SODA Aleksandrs Slivkins
2005	A*	`conf`	Meridian: a lightweight network location service without virtual coordinates. SIGCOMM Bernard Wong, Aleksandrs Slivkins, Emin Gün Sirer
2005	A*	`conf`	Metric Embeddings with Relaxed Guarantees. FOCS Ittai Abraham, Yair Bartal, T.-H. Hubert Chan, Kedar Dhamdhere, Anupam Gupta, Jon M. Kleinberg, Ofer Neiman, Aleksandrs Slivkins
2004	A*	`conf`	Network failure detection and graph connectivity. SODA Jon M. Kleinberg, Mark Sandler, Aleksandrs Slivkins
2004	A*	`conf`	Triangulation and Embedding Using Small Sets of Beacons. FOCS Jon M. Kleinberg, Aleksandrs Slivkins, Tom Wexler
2003	A	`conf`	Parameterized Tractability of Edge-Disjoint Paths on Directed Acyclic Graphs. ESA Aleksandrs Slivkins