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Vasilis Syrgkanis
Vasilis Syrgkanis
Assistant Professor, Stanford University
Zweryfikowany adres z stanford.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Training gans with optimism
C Daskalakis, A Ilyas, V Syrgkanis, H Zeng
arXiv preprint arXiv:1711.00141, 2017
4322017
Composable and efficient mechanisms
V Syrgkanis, E Tardos
Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013
2392013
Fast convergence of regularized learning in games
V Syrgkanis, A Agarwal, H Luo, RE Schapire
Advances in Neural Information Processing Systems 28, 2015
1902015
Orthogonal statistical learning
DJ Foster, V Syrgkanis
arXiv preprint arXiv:1901.09036, 2019
1212019
Bayesian incentive-compatible bandit exploration
Y Mansour, A Slivkins, V Syrgkanis
Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015
115*2015
Robust optimization for non-convex objectives
RS Chen, B Lucier, Y Singer, V Syrgkanis
Advances in Neural Information Processing Systems 30, 2017
1052017
Sequential auctions and externalities
RP Leme, V Syrgkanis, É Tardos
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012
992012
The price of anarchy in auctions
T Roughgarden, V Syrgkanis, E Tardos
Journal of Artificial Intelligence Research 59, 59-101, 2017
962017
Orthogonal random forest for causal inference
M Oprescu, V Syrgkanis, ZS Wu
International Conference on Machine Learning, 4932-4941, 2019
93*2019
Bayesian exploration: Incentivizing exploration in bayesian games
Y Mansour, A Slivkins, V Syrgkanis, ZS Wu
arXiv preprint arXiv:1602.07570, 2016
89*2016
Minimax estimation of conditional moment models
N Dikkala, G Lewis, L Mackey, V Syrgkanis
Advances in Neural Information Processing Systems 33, 12248-12262, 2020
85*2020
Econometrics for learning agents
D Nekipelov, V Syrgkanis, E Tardos
Proceedings of the sixteenth acm conference on economics and computation, 1-18, 2015
782015
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
742016
Efficient algorithms for adversarial contextual learning
V Syrgkanis, A Krishnamurthy, R Schapire
International Conference on Machine Learning, 2159-2168, 2016
732016
Bayesian games and the smoothness framework
V Syrgkanis
arXiv preprint arXiv:1203.5155, 2012
672012
The curse of simultaneity
RP Leme, V Syrgkanis, É Tardos
Proceedings of the 3rd Innovations in Theoretical Computer Science …, 2012
662012
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
652016
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
562016
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
542020
No-regret learning in Bayesian games
J Hartline, V Syrgkanis, E Tardos
Advances in Neural Information Processing Systems 28, 2015
542015
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