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 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
Alekh AgarwalGoogleVerified email at google.com
nikhil r. devanurAmazonVerified email at nikhildevanur.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	568	2017
Fast convergence of regularized learning in games V Syrgkanis, A Agarwal, H Luo, RE Schapire Advances in Neural Information Processing Systems 28, 2015	279	2015
Composable and efficient mechanisms V Syrgkanis, E Tardos Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013	258	2013
Orthogonal statistical learning DJ Foster, V Syrgkanis The Annals of Statistics 51 (3), 879-908, 2023	241	2023
Bayesian incentive-compatible bandit exploration Y Mansour, A Slivkins, V Syrgkanis Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015	163*	2015
Orthogonal random forest for causal inference M Oprescu, V Syrgkanis, ZS Wu International Conference on Machine Learning, 4932-4941, 2019	136*	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	132*	2020
Robust optimization for non-convex objectives RS Chen, B Lucier, Y Singer, V Syrgkanis Advances in Neural Information Processing Systems 30, 2017	131	2017
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	125	2019
Bayesian exploration: Incentivizing exploration in bayesian games Y Mansour, A Slivkins, V Syrgkanis, ZS Wu arXiv preprint arXiv:1602.07570, 2016	120*	2016
The price of anarchy in auctions T Roughgarden, V Syrgkanis, E Tardos Journal of Artificial Intelligence Research 59, 59-101, 2017	118	2017
Sequential auctions and externalities RP Leme, V Syrgkanis, É Tardos Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012	111	2012
Econometrics for learning agents D Nekipelov, V Syrgkanis, E Tardos Proceedings of the sixteenth acm conference on economics and computation, 1-18, 2015	105	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	97	2016
Efficient algorithms for adversarial contextual learning V Syrgkanis, A Krishnamurthy, R Schapire International Conference on Machine Learning, 2159-2168, 2016	93	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	81	2015
Accurate inference for adaptive linear models Y Deshpande, L Mackey, V Syrgkanis, M Taddy International Conference on Machine Learning, 1194-1203, 2018	79	2018
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	79*	2016
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	74	2019

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