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Georgios Piliouras
Georgios Piliouras
Google DeepMind, Singapore University of Technology and Design
Verified email at google.com
Title
Cited by
Cited by
Year
Cycles in adversarial regularized learning
P Mertikopoulos, C Papadimitriou, G Piliouras
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2018., 2017
3872017
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
3832019
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
P Mertikopoulos, B Lecouat, H Zenati, CS Foo, V Chandrasekhar, ...
ICLR, 2019
3812019
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
199*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
1982009
Multiplicative Weights Update in Zero-Sum Games
JP Bailey, G Piliouras
Proceedings of the 2018 ACM Conference on Economics and Computation, 321-338, 2018
1652018
{\alpha}-Rank: Multi-Agent Evaluation by Evolution
S Omidshafiei, C Papadimitriou, G Piliouras, K Tuyls, M Rowland, ...
Scientific Reports (9), 2019
1472019
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
1432017
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
1412021
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
1312019
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
103*2018
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
992014
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
962021
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
88*2020
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
882019
Beyond the Nash equilibrium barrier
R Kleinberg, K Ligett, G Piliouras, E Tardos
Symposium on Innovations in Computer Science (ICS), 2011
812011
From Nash Equilibria to Chain Recurrent Sets: An Algorithmic Solution Concept for Game Theory
C Papadimitriou, G Piliouras
Entropy 20 (10), 782, 2018
78*2018
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
762021
Risk sensitivity of price of anarchy under uncertainty
G Piliouras, E Nikolova, JS Shamma
ACM Transactions on Economics and Computation (TEAC) 5 (1), 1-27, 2016
732016
Finite regret and cycles with fixed step-size via alternating gradient descent-ascent
JP Bailey, G Gidel, G Piliouras
Conference on Learning Theory, 391-407, 2020
722020
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Articles 1–20