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Vasilis Syrgkanis
Vasilis Syrgkanis
Assistant Professor, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Training gans with optimism
C Daskalakis, A Ilyas, V Syrgkanis, H Zeng
arXiv preprint arXiv:1711.00141, 2017
5232017
Fast convergence of regularized learning in games
V Syrgkanis, A Agarwal, H Luo, RE Schapire
Advances in Neural Information Processing Systems 28, 2015
2552015
Composable and efficient mechanisms
V Syrgkanis, E Tardos
Proceedings of the forty-fifth annual ACM symposium on Theory of computing†…, 2013
2532013
Orthogonal statistical learning
DJ Foster, V Syrgkanis
The Annals of Statistics 51 (3), 879-908, 2023
2172023
Bayesian incentive-compatible bandit exploration
Y Mansour, A Slivkins, V Syrgkanis
Proceedings of the Sixteenth ACM Conference on Economics and Computation†…, 2015
153*2015
Orthogonal random forest for causal inference
M Oprescu, V Syrgkanis, ZS Wu
International Conference on Machine Learning, 4932-4941, 2019
126*2019
Robust optimization for non-convex objectives
RS Chen, B Lucier, Y Singer, V Syrgkanis
Advances in Neural Information Processing Systems 30, 2017
1242017
Minimax estimation of conditional moment models
N Dikkala, G Lewis, L Mackey, V Syrgkanis
Advances in Neural Information Processing Systems 33, 12248-12262, 2020
120*2020
The price of anarchy in auctions
T Roughgarden, V Syrgkanis, E Tardos
Journal of Artificial Intelligence Research 59, 59-101, 2017
1152017
Bayesian exploration: Incentivizing exploration in bayesian games
Y Mansour, A Slivkins, V Syrgkanis, ZS Wu
arXiv preprint arXiv:1602.07570, 2016
112*2016
Sequential auctions and externalities
RP Leme, V Syrgkanis, … Tardos
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete†…, 2012
1072012
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
1032019
Econometrics for learning agents
D Nekipelov, V Syrgkanis, E Tardos
Proceedings of the sixteenth acm conference on economics and computation, 1-18, 2015
962015
Efficient algorithms for adversarial contextual learning
V Syrgkanis, A Krishnamurthy, R Schapire
International Conference on Machine Learning, 2159-2168, 2016
902016
Learning and efficiency in games with dynamic population
T Lykouris, V Syrgkanis, … Tardos
Proceedings of the twenty-seventh annual ACM-SIAM symposium on Discrete†…, 2016
902016
Oracle-efficient online learning and auction design
M DudŪk, N Haghtalab, H Luo, RE Schapire, V Syrgkanis, JW Vaughan
Journal of the ACM (JACM) 67 (5), 1-57, 2020
772020
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
73*2016
No-regret learning in Bayesian games
J Hartline, V Syrgkanis, E Tardos
Advances in Neural Information Processing Systems 28, 2015
732015
Accurate inference for adaptive linear models
Y Deshpande, L Mackey, V Syrgkanis, M Taddy
International Conference on Machine Learning, 1194-1203, 2018
722018
The curse of simultaneity
RP Leme, V Syrgkanis, … Tardos
Proceedings of the 3rd innovations in theoretical computer science†…, 2012
722012
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Articles 1–20