| Cycles in adversarial regularized learning P Mertikopoulos, C Papadimitriou, G Piliouras ACM-SIAM Symposium on Discrete Algorithms (SODA), 2018., 2017 | 445 | 2017 |
| First-order methods almost always avoid strict saddle points JD Lee, I Panageas, G Piliouras, M Simchowitz, MI Jordan, B Recht Mathematical programming 176 (1), 311-337, 2019 | 430 | 2019 |
| Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile P Mertikopoulos, B Lecouat, H Zenati, CS Foo, V Chandrasekhar, ... ICLR, 2019 | 427 | 2019 |
| Gradient descent converges to minimizers: The case of non-isolated critical points I Panageas, G Piliouras Proceedings of the 2017 ACM Conference on Innovations in Theoretical …, 2016 | 218* | 2016 |
| Multiplicative updates outperform generic no-regret learning in congestion games R Kleinberg, G Piliouras, É Tardos Proceedings of the forty-first annual ACM symposium on Theory of computing …, 2009 | 212 | 2009 |
| Multiplicative Weights Update in Zero-Sum Games JP Bailey, G Piliouras Proceedings of the 2018 ACM Conference on Economics and Computation, 321-338, 2018 | 198 | 2018 |
| Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games S Leonardos, W Overman, I Panageas, G Piliouras arXiv preprint arXiv:2106.01969, 2021 | 187 | 2021 |
| {\alpha}-Rank: Multi-Agent Evaluation by Evolution S Omidshafiei, C Papadimitriou, G Piliouras, K Tuyls, M Rowland, ... Scientific Reports (9), 2019 | 171 | 2019 |
| Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos G Palaiopanos, I Panageas, G Piliouras 31st Annual Conference on Neural Information Processing Systems, 2017 | 167 | 2017 |
| Incentives in Ethereum's Hybrid Casper Protocol V Buterin, D Reijsbergen, S Leonardos, G Piliouras IEEE International Conference on Blockchain and Cryptocurrency (ICBC) 2019, 2019 | 147 | 2019 |
| From Poincaré recurrence to convergence in imperfect information games: Finding equilibrium via regularization J Perolat, R Munos, JB Lespiau, S Omidshafiei, M Rowland, P Ortega, ... International Conference on Machine Learning, 8525-8535, 2021 | 123 | 2021 |
| The unusual effectiveness of averaging in GAN training Y Yazici, CS Foo, S Winkler, KH Yap, G Piliouras, V Chandrasekhar International Conference on Learning Representations (ICLR), 2018 | 115* | 2018 |
| No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix EV Vlatakis-Gkaragkounis, L Flokas, T Lianeas, P Mertikopoulos, ... Advances in Neural Information Processing Systems 33, 2020 | 114* | 2020 |
| Optimization Despite Chaos: Convex Relaxations to Complex Limit Sets via Poincaré Recurrence G Piliouras, JS Shamma ACM-SIAM Symposium on Discrete Algorithms (SODA 14), 2014 | 110 | 2014 |
| Weighted Voting on the Blockchain: Improving Consensus in Proof of Stake Protocols S Leonardos, D Reijsbergen, G Piliouras IEEE International Conference on Blockchain and Cryptocurrency (ICBC) 2019, 2019 | 101 | 2019 |
| Multi-Agent Risks from Advanced AI L Hammond, A Chan, J Clifton, J Hoelscher-Obermaier, A Khan, ... arXiv preprint arXiv:2502.14143, 2025 | 97 | 2025 |
| Scaling up Mean Field Games with Online Mirror Descent J Perolat, S Perrin, R Elie, M Laurière, G Piliouras, M Geist, K Tuyls, ... arXiv preprint arXiv:2103.00623, 2021 | 95 | 2021 |
| Beyond the Nash equilibrium barrier R Kleinberg, K Ligett, G Piliouras, E Tardos Symposium on Innovations in Computer Science (ICS), 2011 | 92 | 2011 |
| Dynamical analysis of the EIP-1559 Ethereum fee market S Leonardos, B Monnot, D Reijsbergen, E Skoulakis, G Piliouras Proceedings of the 3rd ACM Conference on Advances in Financial Technologies …, 2021 | 91 | 2021 |
| From Nash Equilibria to Chain Recurrent Sets: An Algorithmic Solution Concept for Game Theory C Papadimitriou, G Piliouras Entropy 20 (10), 782, 2018 | 91* | 2018 |
Stefanos LeonardosLecturer in machine learning, King's College LondonVerified email at kcl.ac.uk
