Éva Tardos

Jacob Gould Schurman Professor of Computer Science


Department of Computer Science
331 Gates Hall
Cornell University
Ithaca, NY 14853
phone: (607) 255-0984 
fax: (607) 255-4428 
Email: eva.tardos@cornell.edu .

Eva Tardos


Dipl.Math. 1981, Ph.D. 1984, Eötvös University, Budapest, Hungary

Current Ph.D. students

Past Ph.D. students

Recent Talks and Activities:

 

Research interest:

Algorithms and algorithmic game theory, the subarea of theoretical computer science theory of designing systems and algorithms for selfish users. My research focuses on algorithms and games on networks and simple auctions.  I am mostly interested in designing algorithms and games that provide provably close-to-optimal results.

 

Books

Some Surveys

Courses

 

See DBLP and Google Scholar for up to date lists of publications.

Publications Grouped by Area

Learning in Games

·       Yoav Kolumbus, Joe Halpern, Eva Tardos: Paying to Do Better: Games with Payments between Learning Agents, on arxiv, 2024.

·       Giannis Fikioris, Eva Tardos. Approximately Stationary Bandits with Knapsacks,  preliminary version appeared in the proceedings of the 36th Annual Conference on Learning Theory (COLT 2023).

·       Giannis Fikioris, Eva Tardos. Liquid Welfare Guarantees for No-Regret Learning in Sequential Budgeted Auctions,  to appear in Mathematics of Operations Research. Preliminary version appeared in the 24th Annual Conference on Economics and Computing (EC'23), July 2023.

·       Jason Gaitonde and Eva Tardos. Price of Anarchy in Strategic Queuing Systems, Journal of the ACM, Volume 70, Issue 3(20), Pages 1 – 63. The next two conference papers are preliminary versions:

·       Jason Gaitonde and Eva Tardos Virtues of Patience in Strategic Queuing Systems,  in the 22st Annual Conference on Economics and Computing (EC'20), July 2021.

·       Jason Gaitonde and Eva Tardos. Stability and Learning in Strategic Queuing Systems,  in the 21st Annual Conference on Economics and Computing (EC'20), July 2020.

·       Thodoris Lykouris, Eva Tardos and Dristi Wali. Feedback graph regret bounds for Thompson Sampling and UCB,  preliminary version appeared in the 31st International Conference on Algorithmic Learning Theory (ALT'20), Feb 2020.

·       Thodoris Lykouris, Karthik Sridharan, and Eva Tardos. Small-loss bounds for online learning with partial information,  Mathematics of Operations Research, Volume 47, Issue 3, August 2022, pages 1707-2545, preliminary version appeared in the 31st Annual Conference on Learning Theory (COLT'18), July 2018.

·       Pooya Jalaly, Denis Nekipelov, and Eva Tardos, Learning and Trust in Auction Markets, EC'18 workshop on Frontiers of Market Design, June 2018.

·       Dylan Foster, Zhiyuan  Li, Thodoris Lykouris, Karthik Sridharan, and Eva Tardos. Learning in Games: Robustness of Fast Convergence. In the Proceedings of Neural Information Processing Systems (NIPS), 2016.

·       Thodoris Lykouris, Vasilis Syrgkanis, and Eva Tardos, Learning and Efficiency in Games with Dynamic Population, Preliminary version in Proceedings of the ACM-SIAM Symposium on Discrete Algorithms (SODA) 2016.

·       Jason Hartline, Vasilis Syrgkanis, Eva Tardos. No-regret learning in repeated Bayesian Games, in the Proceedings of Neural Information Processing Systems (NIPS), December 2015.

·       Denis Nekipelov, Vasilis Syrgkanis, Eva Tardos, Econometrics for Learning Agents, preliminary version appeared in the proceedings of the ACM Conference on Economics and Computation, Portland, OR June 2015 (best paper award).

·       Paul Duetting, Thomas Kesselheim, Eva Tardos, Mechanisms with Unique Learnable Equilibria, in the Proceedings of the ACM Conference on Electronic Commerce, June 2014, Palo Alto, CA.

·       Robert Kleinberg, Katrina Ligett, Georgios Piliouras, and Eva Tardos. Beyond the Nash Equilibrium Barrier Innovations in Computer Science, 2011.

·       Robert Kleinberg, Georgios Piliouras, and Eva Tardos. Multiplicative Updates Outperform Generic No-Regret Learning in Congestion Games, in the proceedings of the ACM Symposium on Theory of Computing, 2009.

·       Robert Kleinberg, Georgios Piliouras, and Eva Tardos. Load Balancing Without Regret in the Bulletin Board Model, in the Proceedings of ACM Symposium on Principles of Distributed Computing, August 2009.

Network Games:

Simple Auctions

·       Sid Banerjee, Giannis Fikioris, and Eva Tardos: Online Resource Sharing via Dynamic Max-Min Fairness: Efficiency, Robustness and Non-Stationarity, on arxiv, 2024.

·       Giannis Fikioris, Rachit Agarwal, Eva Tardos, Incentives in Dominant Resource Fair Allocation under Dynamic Demands, In the proceedings of the 17th International Symposium on Algorithmic Game Theory SAGT’24.

Mechanism Design

Social Networks and Matchings

·       Jon Kleinberg, Emily Ruy, Sigal Oren, and Eva Tardos: Modeling reputation-based behavioral biases in school choice, short abstract in the proceedings of the 25th ACM Conference on Economics and Computing (EC24), 2024, and full version on arxiv, 2024.

Classification

Clustering and facility location

Network Design

Routing Disjoint Paths and Packets in Networks

Scheduling

Generalized Flow

Packing and Covering Algorithms

Networks with transit times

Effective bandwidth

Finding cuts in graphs

Separating cutting planes

Other Miscellaneous papers

 

 

Older Survey Papers