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
Nicole ImmorlicaMicrosoft ResearchVerified email at microsoft.com
Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Denis NekipelovUniversity of VirginiaVerified email at virginia.edu
Haipeng LuoUniversity 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
Alekh AgarwalGoogleVerified email at google.com
Jason HartlineProfessor of Computer Science, Northwestern U.Verified email at northwestern.edu
Nika HaghtalabUniversity of California, BerkeleyVerified email at berkeley.edu

Vasilis Syrgkanis

Microsoft Research

Verified email at microsoft.com - Homepage

Machine Learning Causal Inference Econometrics Game Theory Mechanism Design


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Training gans with optimism C Daskalakis, A Ilyas, V Syrgkanis, H Zeng arXiv preprint arXiv:1711.00141, 2017	363	2017
Composable and efficient mechanisms V Syrgkanis, E Tardos Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013	223	2013
Fast convergence of regularized learning in games V Syrgkanis, A Agarwal, H Luo, RE Schapire Advances in Neural Information Processing Systems 28, 2015	156	2015
Bayesian incentive-compatible bandit exploration Y Mansour, A Slivkins, V Syrgkanis Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015	105*	2015
Sequential auctions and externalities RP Leme, V Syrgkanis, É Tardos Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012	95	2012
Orthogonal statistical learning DJ Foster, V Syrgkanis arXiv preprint arXiv:1901.09036, 2019	94	2019
Robust optimization for non-convex objectives RS Chen, B Lucier, Y Singer, V Syrgkanis Advances in Neural Information Processing Systems 30, 2017	94	2017
The price of anarchy in auctions T Roughgarden, V Syrgkanis, E Tardos Journal of Artificial Intelligence Research 59, 59-101, 2017	84	2017
Bayesian exploration: Incentivizing exploration in bayesian games Y Mansour, A Slivkins, V Syrgkanis, ZS Wu arXiv preprint arXiv:1602.07570, 2016	81*	2016
Econometrics for learning agents D Nekipelov, V Syrgkanis, E Tardos Proceedings of the sixteenth acm conference on economics and computation, 1-18, 2015	72	2015
Orthogonal random forest for causal inference M Oprescu, V Syrgkanis, ZS Wu International Conference on Machine Learning, 4932-4941, 2019	71*	2019
Efficient algorithms for adversarial contextual learning V Syrgkanis, A Krishnamurthy, R Schapire International Conference on Machine Learning, 2159-2168, 2016	68	2016
The curse of simultaneity RP Leme, V Syrgkanis, É Tardos Proceedings of the 3rd Innovations in Theoretical Computer Science …, 2012	65	2012
Bayesian games and the smoothness framework V Syrgkanis arXiv preprint arXiv:1203.5155, 2012	64	2012
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	61	2016
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	61	2016
Learning in auctions: Regret is hard, envy is easy C Daskalakis, V Syrgkanis Games and Economic Behavior, 2022	53	2022
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	49	2020
Social status and badge design N Immorlica, G Stoddard, V Syrgkanis Proceedings of the 24th international conference on World Wide Web, 473-483, 2015	48	2015
A unifying hierarchy of valuations with complements and substitutes U Feige, M Feldman, N Immorlica, R Izsak, B Lucier, V Syrgkanis Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	48	2015

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