Vasilis Syrgkanis

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Eva TardosProfessor of Computer Science, Cornell UniversityVerified email at cornell.edu
Brendan LucierMicrosoft ResearchVerified email at microsoft.com
Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Constantinos DaskalakisProfessor of Computer Science, MITVerified email at csail.mit.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 BachrachMeta (FAIR)Verified email at meta.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
Alekh AgarwalGoogleVerified email at google.com
nikhil r. devanurAmazonVerified email at nikhildevanur.com
Jason HartlineProfessor of Computer Science, Northwestern U.Verified email at northwestern.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	596	2017
Fast convergence of regularized learning in games V Syrgkanis, A Agarwal, H Luo, RE Schapire Advances in Neural Information Processing Systems 28, 2015	296	2015
Orthogonal statistical learning DJ Foster, V Syrgkanis The Annals of Statistics 51 (3), 879-908, 2023	268	2023
Composable and efficient mechanisms V Syrgkanis, E Tardos Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013	263	2013
Bayesian incentive-compatible bandit exploration Y Mansour, A Slivkins, V Syrgkanis Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015	173*	2015
Orthogonal random forest for causal inference M Oprescu, V Syrgkanis, ZS Wu International Conference on Machine Learning, 4932-4941, 2019	149*	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	147*	2020
EconML: a Python package for ML-based heterogeneous treatment effects estimation K Battocchi, E Dillon, M Hei, G Lewis, P Oka, M Oprescu, V Syrgkanis Version 0. x, 2019	142	2019
Robust optimization for non-convex objectives RS Chen, B Lucier, Y Singer, V Syrgkanis Advances in Neural Information Processing Systems 30, 2017	139	2017
Bayesian exploration: Incentivizing exploration in bayesian games Y Mansour, A Slivkins, V Syrgkanis, ZS Wu arXiv preprint arXiv:1602.07570, 2016	132*	2016
The price of anarchy in auctions T Roughgarden, V Syrgkanis, E Tardos Journal of Artificial Intelligence Research 59, 59-101, 2017	124	2017
Econometrics for learning agents D Nekipelov, V Syrgkanis, E Tardos Proceedings of the sixteenth acm conference on economics and computation, 1-18, 2015	114	2015
Sequential auctions and externalities RP Leme, V Syrgkanis, É Tardos Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012	111	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	100	2016
Efficient algorithms for adversarial contextual learning V Syrgkanis, A Krishnamurthy, R Schapire International Conference on Machine Learning, 2159-2168, 2016	95	2016
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	85	2020
No-regret learning in Bayesian games J Hartline, V Syrgkanis, E Tardos Advances in Neural Information Processing Systems 28, 2015	84	2015
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	83*	2016
Accurate inference for adaptive linear models Y Deshpande, L Mackey, V Syrgkanis, M Taddy International Conference on Machine Learning, 1194-1203, 2018	82	2018
Machine learning estimation of heterogeneous treatment effects with instruments V Syrgkanis, V Lei, M Oprescu, M Hei, K Battocchi, G Lewis Advances in Neural Information Processing Systems 32, 2019	78	2019

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