| Composable and efficient mechanisms V Syrgkanis, E Tardos Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013 | 202 | 2013 |
| Training gans with optimism C Daskalakis, A Ilyas, V Syrgkanis, H Zeng arXiv preprint arXiv:1711.00141, 2017 | 195 | 2017 |
| Fast convergence of regularized learning in games V Syrgkanis, A Agarwal, H Luo, RE Schapire Advances in Neural Information Processing Systems 28, 2989-2997, 2015 | 99 | 2015 |
| Sequential auctions and externalities RP Leme, V Syrgkanis, É Tardos Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012 | 87 | 2012 |
| Bayesian incentive-compatible bandit exploration Y Mansour, A Slivkins, V Syrgkanis Operations Research 68 (4), 1132-1161, 2020 | 76 | 2020 |
| Robust optimization for non-convex objectives RS Chen, B Lucier, Y Singer, V Syrgkanis Advances in Neural Information Processing Systems, 4705-4714, 2017 | 63 | 2017 |
| The curse of simultaneity RP Leme, V Syrgkanis, É Tardos Proceedings of the 3rd Innovations in Theoretical Computer Science …, 2012 | 60 | 2012 |
| Efficient algorithms for adversarial contextual learning V Syrgkanis, A Krishnamurthy, R Schapire International Conference on Machine Learning, 2159-2168, 2016 | 59 | 2016 |
| The price of anarchy in auctions T Roughgarden, V Syrgkanis, E Tardos Journal of Artificial Intelligence Research 59, 59-101, 2017 | 57 | 2017 |
| Bayesian games and the smoothness framework V Syrgkanis arXiv preprint arXiv:1203.5155, 2012 | 55 | 2012 |
| Econometrics for learning agents D Nekipelov, V Syrgkanis, E Tardos Proceedings of the Sixteenth ACM Conference on Economics and Computation, 1-18, 2015 | 54 | 2015 |
| 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 | 53 | 2016 |
| 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 | 53 | 2016 |
| Bayesian exploration: Incentivizing exploration in bayesian games Y Mansour, A Slivkins, V Syrgkanis, ZS Wu arXiv preprint arXiv:1602.07570, 2016 | 48 | 2016 |
| 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 | 45 | 2016 |
| A unifying hierarchy of valuations with complements and substitutes U Feige, M Feldman, N Immorlica, R Izsak, B Lucier, V Syrgkanis Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 42 | 2015 |
| Social status and badge design N Immorlica, G Stoddard, V Syrgkanis Proceedings of the 24th international conference on World Wide Web, 473-483, 2015 | 40 | 2015 |
| Orthogonal random forest for causal inference M Oprescu, V Syrgkanis, ZS Wu International Conference on Machine Learning, 4932-4941, 2019 | 36* | 2019 |
| Oracle-efficient Online Learning and Auction Design M Dudíte; k, N Haghtalab, H Luo, RE Schapire, V Syrgkanis, JW Vaughan Journal of the ACM (JACM) 67 (5), 1-57, 2020 | 35 | 2020 |
| Bayesian sequential auctions V Syrgkanis, E Tardos Proceedings of the 13th ACM Conference on Electronic Commerce, 929-944, 2012 | 35 | 2012 |
Eva TardosProfessor of Computer Science, Cornell UniversityAdresse e-mail validée de cornell.edu
