Vasilis Syrgkanis

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Citations	4141	3495
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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
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Nicole ImmorlicaMicrosoft ResearchVerified email at microsoft.com
Haipeng LuoAssociate Professor, University of Southern CaliforniaVerified email at usc.edu
Denis NekipelovUniversity of VirginiaVerified email at virginia.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
Yoram BachrachDeepMindVerified email at google.com
Milan VojnovicProfessor, Department of Statistics, LSEVerified email at lse.ac.uk
Balasubramanian SivanGoogle Research, New YorkVerified email at google.com
Miroslav DudikMicrosoft ResearchVerified email at microsoft.com
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityVerified email at microsoft.com
Akshay KrishnamurthyUniversity of Massachusetts AmherstVerified email at cs.umass.edu
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	497	2017
Composable and efficient mechanisms V Syrgkanis, E Tardos Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013	250	2013
Fast convergence of regularized learning in games V Syrgkanis, A Agarwal, H Luo, RE Schapire Advances in Neural Information Processing Systems 28, 2015	237	2015
Orthogonal statistical learning DJ Foster, V Syrgkanis The Annals of Statistics 51 (3), 879-908, 2023	169	2023
Bayesian incentive-compatible bandit exploration Y Mansour, A Slivkins, V Syrgkanis Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015	134*	2015
The price of anarchy in auctions T Roughgarden, V Syrgkanis, E Tardos Journal of Artificial Intelligence Research 59, 59-101, 2017	113	2017
Orthogonal random forest for causal inference M Oprescu, V Syrgkanis, ZS Wu International Conference on Machine Learning, 4932-4941, 2019	111*	2019
Minimax estimation of conditional moment models N Dikkala, G Lewis, L Mackey, V Syrgkanis Advances in Neural Information Processing Systems 33, 12248-12262, 2020	110*	2020
Robust optimization for non-convex objectives RS Chen, B Lucier, Y Singer, V Syrgkanis Advances in Neural Information Processing Systems 30, 2017	109	2017
Sequential auctions and externalities RP Leme, V Syrgkanis, É Tardos Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012	103	2012
Bayesian exploration: Incentivizing exploration in bayesian games Y Mansour, A Slivkins, V Syrgkanis, ZS Wu arXiv preprint arXiv:1602.07570, 2016	101*	2016
Econometrics for learning agents D Nekipelov, V Syrgkanis, E Tardos Proceedings of the sixteenth acm conference on economics and computation, 1-18, 2015	90	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	88	2016
Efficient algorithms for adversarial contextual learning V Syrgkanis, A Krishnamurthy, R Schapire International Conference on Machine Learning, 2159-2168, 2016	82	2016
Bayesian games and the smoothness framework V Syrgkanis arXiv preprint arXiv:1203.5155, 2012	71	2012
The curse of simultaneity RP Leme, V Syrgkanis, É Tardos Proceedings of the 3rd Innovations in Theoretical Computer Science …, 2012	71	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	70	2020
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
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	67*	2016
Accurate inference for adaptive linear models Y Deshpande, L Mackey, V Syrgkanis, M Taddy International Conference on Machine Learning, 1194-1203, 2018	65	2018

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