Vasilis Syrgkanis

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Eva TardosProfessor of Computer Science, Cornell UniversityVerified email at cornell.edu
Brendan LucierMicrosoft ResearchVerified email at microsoft.com
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Nicole ImmorlicaMicrosoft ResearchVerified email at microsoft.com
Constantinos DaskalakisProfessor of Computer Science, MITVerified email at csail.mit.edu
Haipeng LuoUniversity of Southern CaliforniaVerified email at usc.edu
Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Denis NekipelovUniversity of VirginiaVerified email at virginia.edu
Renato Paes LemeGoogle ResearchVerified email at cs.cornell.edu
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
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
Nika HaghtalabUniversity of California, BerkeleyVerified email at berkeley.edu
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 AgarwalMicrosoft ResearchVerified email at microsoft.com
Gregory StoddardComputer Science, Northwestern UniversityVerified email at u.northwestern.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	276	2017
Composable and efficient mechanisms V Syrgkanis, E Tardos Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013	212	2013
Fast convergence of regularized learning in games V Syrgkanis, A Agarwal, H Luo, RE Schapire arXiv preprint arXiv:1507.00407, 2015	129	2015
Bayesian incentive-compatible bandit exploration Y Mansour, A Slivkins, V Syrgkanis Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015	95*	2015
Sequential auctions and externalities RP Leme, V Syrgkanis, É Tardos Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012	90	2012
Robust optimization for non-convex objectives R Chen, B Lucier, Y Singer, V Syrgkanis arXiv preprint arXiv:1707.01047, 2017	81	2017
The price of anarchy in auctions T Roughgarden, V Syrgkanis, E Tardos Journal of Artificial Intelligence Research 59, 59-101, 2017	67	2017
Orthogonal statistical learning DJ Foster, V Syrgkanis arXiv preprint arXiv:1901.09036, 2019	65	2019
Bayesian exploration: Incentivizing exploration in bayesian games Y Mansour, A Slivkins, V Syrgkanis, ZS Wu arXiv preprint arXiv:1602.07570, 2016	65	2016
Econometrics for learning agents D Nekipelov, V Syrgkanis, E Tardos Proceedings of the Sixteenth ACM Conference on Economics and Computation, 1-18, 2015	63	2015
The curse of simultaneity RP Leme, V Syrgkanis, É Tardos Proceedings of the 3rd Innovations in Theoretical Computer Science …, 2012	63	2012
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	62	2016
Efficient algorithms for adversarial contextual learning V Syrgkanis, A Krishnamurthy, R Schapire International Conference on Machine Learning, 2159-2168, 2016	60	2016
Bayesian games and the smoothness framework V Syrgkanis arXiv preprint arXiv:1203.5155, 2012	57	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	55	2016
Orthogonal random forest for causal inference M Oprescu, V Syrgkanis, ZS Wu International Conference on Machine Learning, 4932-4941, 2019	54*	2019
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	50	2016
Oracle-efficient online learning and auction design M Dudík, N Haghtalab, H Luo, RE Schapire, V Syrgkanis, JW Vaughan 2017 ieee 58th annual symposium on foundations of computer science (focs …, 2017	45	2017
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	45	2015
Social status and badge design N Immorlica, G Stoddard, V Syrgkanis Proceedings of the 24th international conference on World Wide Web, 473-483, 2015	44	2015

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