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Vasilis Syrgkanis
Vasilis Syrgkanis
Assistant Professor, Stanford University
Adresă de e-mail confirmată pe stanford.edu - Pagina de pornire
Titlu
Citat de
Citat de
Anul
Training gans with optimism
C Daskalakis, A Ilyas, V Syrgkanis, H Zeng
arXiv preprint arXiv:1711.00141, 2017
6022017
Fast convergence of regularized learning in games
V Syrgkanis, A Agarwal, H Luo, RE Schapire
Advances in Neural Information Processing Systems 28, 2015
3002015
Orthogonal statistical learning
DJ Foster, V Syrgkanis
The Annals of Statistics 51 (3), 879-908, 2023
2812023
Composable and efficient mechanisms
V Syrgkanis, E Tardos
Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013
2692013
Bayesian incentive-compatible bandit exploration
Y Mansour, A Slivkins, V Syrgkanis
Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015
183*2015
Orthogonal random forest for causal inference
M Oprescu, V Syrgkanis, ZS Wu
International Conference on Machine Learning, 4932-4941, 2019
157*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
151*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
1462019
Robust optimization for non-convex objectives
RS Chen, B Lucier, Y Singer, V Syrgkanis
Advances in Neural Information Processing Systems 30, 2017
1392017
Bayesian exploration: Incentivizing exploration in bayesian games
Y Mansour, A Slivkins, V Syrgkanis, ZS Wu
arXiv preprint arXiv:1602.07570, 2016
137*2016
The price of anarchy in auctions
T Roughgarden, V Syrgkanis, E Tardos
Journal of Artificial Intelligence Research 59, 59-101, 2017
1272017
Econometrics for learning agents
D Nekipelov, V Syrgkanis, E Tardos
Proceedings of the sixteenth acm conference on economics and computation, 1-18, 2015
1202015
Sequential auctions and externalities
RP Leme, V Syrgkanis, É Tardos
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012
1092012
Efficient algorithms for adversarial contextual learning
V Syrgkanis, A Krishnamurthy, R Schapire
International Conference on Machine Learning, 2159-2168, 2016
1012016
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
1002016
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
922020
No-regret learning in Bayesian games
J Hartline, V Syrgkanis, E Tardos
Advances in Neural Information Processing Systems 28, 2015
852015
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
842019
Accurate inference for adaptive linear models
Y Deshpande, L Mackey, V Syrgkanis, M Taddy
International Conference on Machine Learning, 1194-1203, 2018
842018
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
82*2016
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