Vasilis Syrgkanis

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Eva TardosProfessor of Computer Science, Cornell UniversityVerified email at cornell.edu
Brendan LucierMicrosoft ResearchVerified email at microsoft.com
Constantinos DaskalakisProfessor of Computer Science, MITVerified email at csail.mit.edu
Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Nicole ImmorlicaMicrosoft ResearchVerified email at microsoft.com
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Denis NekipelovUniversity of VirginiaVerified email at virginia.edu
Haipeng LuoAssociate Professor, University of Southern CaliforniaVerified email at usc.edu
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Renato Paes LemeGoogle ResearchVerified email at cs.cornell.edu
Tim RoughgardenColumbia UniversityVerified email at cs.columbia.edu
Balasubramanian SivanGoogle Research, New YorkVerified email at google.com
Yoram BachrachDeepMindVerified email at google.com
Milan VojnovicProfessor, Department of Statistics, LSEVerified email at lse.ac.uk
Miroslav DudikMicrosoft ResearchVerified email at microsoft.com
Akshay KrishnamurthyUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityVerified email at microsoft.com
nikhil r. devanurAmazonVerified email at nikhildevanur.com
Alekh AgarwalGoogleVerified email at google.com
Nika HaghtalabUniversity of California, BerkeleyVerified email at berkeley.edu

Vasilis Syrgkanis

Assistant Professor, Stanford University

Verified email at stanford.edu - Homepage

Machine Learning Causal Inference Econometrics Game Theory Mechanism Design


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Training gans with optimism C Daskalakis, A Ilyas, V Syrgkanis, H Zeng arXiv preprint arXiv:1711.00141, 2017	450	2017
Composable and efficient mechanisms V Syrgkanis, E Tardos Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013	243	2013
Fast convergence of regularized learning in games V Syrgkanis, A Agarwal, H Luo, RE Schapire Advances in Neural Information Processing Systems 28, 2015	203	2015
Orthogonal statistical learning DJ Foster, V Syrgkanis arXiv preprint arXiv:1901.09036, 2019	130	2019
Bayesian incentive-compatible bandit exploration Y Mansour, A Slivkins, V Syrgkanis Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015	120*	2015
Robust optimization for non-convex objectives RS Chen, B Lucier, Y Singer, V Syrgkanis Advances in Neural Information Processing Systems 30, 2017	105	2017
The price of anarchy in auctions T Roughgarden, V Syrgkanis, E Tardos Journal of Artificial Intelligence Research 59, 59-101, 2017	104	2017
Sequential auctions and externalities RP Leme, V Syrgkanis, É Tardos Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012	101	2012
Orthogonal random forest for causal inference M Oprescu, V Syrgkanis, ZS Wu International Conference on Machine Learning, 4932-4941, 2019	96*	2019
Bayesian exploration: Incentivizing exploration in bayesian games Y Mansour, A Slivkins, V Syrgkanis, ZS Wu arXiv preprint arXiv:1602.07570, 2016	92*	2016
Minimax estimation of conditional moment models N Dikkala, G Lewis, L Mackey, V Syrgkanis Advances in Neural Information Processing Systems 33, 12248-12262, 2020	91*	2020
Econometrics for learning agents D Nekipelov, V Syrgkanis, E Tardos Proceedings of the sixteenth acm conference on economics and computation, 1-18, 2015	79	2015
Learning and efficiency in games with dynamic population T Lykouris, V Syrgkanis, É Tardos Proceedings of the twenty-seventh annual ACM-SIAM symposium on Discrete …, 2016	75	2016
Efficient algorithms for adversarial contextual learning V Syrgkanis, A Krishnamurthy, R Schapire International Conference on Machine Learning, 2159-2168, 2016	74	2016
The price of anarchy in large games M Feldman, N Immorlica, B Lucier, T Roughgarden, V Syrgkanis Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016	68	2016
Bayesian games and the smoothness framework V Syrgkanis arXiv preprint arXiv:1203.5155, 2012	68	2012
The curse of simultaneity RP Leme, V Syrgkanis, É Tardos Proceedings of the 3rd Innovations in Theoretical Computer Science …, 2012	67	2012
Oracle-efficient online learning and auction design M Dudík, N Haghtalab, H Luo, RE Schapire, V Syrgkanis, JW Vaughan Journal of the ACM (JACM) 67 (5), 1-57, 2020	57	2020
Learning in auctions: Regret is hard, envy is easy C Daskalakis, V Syrgkanis 2016 ieee 57th annual symposium on foundations of computer science (focs …, 2016	57	2016
No-regret learning in Bayesian games J Hartline, V Syrgkanis, E Tardos Advances in Neural Information Processing Systems 28, 2015	55	2015

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