| Cycles in adversarial regularized learning P Mertikopoulos, C Papadimitriou, G Piliouras Proceedings of the twenty-ninth annual ACM-SIAM symposium on discrete …, 2018 | 359 | 2018 |
| Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile P Mertikopoulos, B Lecouat, H Zenati, CS Foo, V Chandrasekhar, ... Proceedings of the 2019 International Conference on Learning Representations, 2019 | 358 | 2019 |
| Learning in games with continuous action sets and unknown payoff functions P Mertikopoulos, Z Zhou Mathematical Programming 173, 465-507, 2019 | 296 | 2019 |
| On the convergence of single-call stochastic extra-gradient methods YG Hsieh, F Iutzeler, J Malick, P Mertikopoulos Advances in Neural Information Processing Systems 32, 2019 | 186 | 2019 |
| Learning in games via reinforcement and regularization P Mertikopoulos, WH Sandholm Mathematics of Operations Research 41 (4), 1297-1324, 2016 | 186 | 2016 |
| A resource allocation framework for network slicing M Leconte, GS Paschos, P Mertikopoulos, UC Kozat IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 2177-2185, 2018 | 151 | 2018 |
| Bandit learning in concave N-person games M Bravo, D Leslie, P Mertikopoulos Advances in Neural Information Processing Systems 31, 2018 | 141 | 2018 |
| Learning with bandit feedback in potential games A Heliou, J Cohen, P Mertikopoulos Advances in Neural Information Processing Systems 30, 2017 | 115 | 2017 |
| The limits of min-max optimization algorithms: Convergence to spurious non-critical sets YP Hsieh, P Mertikopoulos, V Cevher International Conference on Machine Learning, 4337-4348, 2021 | 100 | 2021 |
| Stochastic mirror descent in variationally coherent optimization problems Z Zhou, P Mertikopoulos, N Bambos, S Boyd, PW Glynn Advances in Neural Information Processing Systems 30, 2017 | 100 | 2017 |
| On the almost sure convergence of stochastic gradient descent in non-convex problems P Mertikopoulos, N Hallak, A Kavis, V Cevher Advances in Neural Information Processing Systems 33, 1117-1128, 2020 | 99 | 2020 |
| Fog based framework for IoT service provisioning B Donassolo, I Fajjari, A Legrand, P Mertikopoulos 2019 16th IEEE annual consumer communications & networking conference (CCNC …, 2019 | 97 | 2019 |
| Energy-aware competitive power allocation for heterogeneous networks under QoS constraints G Bacci, EV Belmega, P Mertikopoulos, L Sanguinetti IEEE Transactions on Wireless Communications 14 (9), 4728-4742, 2015 | 93 | 2015 |
| Penalty-regulated dynamics and robust learning procedures in games P Coucheney, B Gaujal, P Mertikopoulos Mathematics of Operations Research 40 (3), 611-633, 2015 | 85 | 2015 |
| Explore aggressively, update conservatively: Stochastic extragradient methods with variable stepsize scaling YG Hsieh, F Iutzeler, J Malick, P Mertikopoulos Advances in Neural Information Processing Systems 33, 16223-16234, 2020 | 80 | 2020 |
| No-regret learning and mixed Nash equilibria: They do not mix L Flokas, EV Vlatakis-Gkaragkounis, T Lianeas, P Mertikopoulos, ... arXiv preprint arXiv:2010.09514, 2020 | 79* | 2020 |
| Adaptive learning in continuous games: Optimal regret bounds and convergence to nash equilibrium YG Hsieh, K Antonakopoulos, P Mertikopoulos Conference on Learning Theory, 2388-2422, 2021 | 76 | 2021 |
| Cautious regret minimization: Online optimization with long-term budget constraints N Liakopoulos, A Destounis, G Paschos, T Spyropoulos, P Mertikopoulos International Conference on Machine Learning, 3944-3952, 2019 | 73 | 2019 |
| Distributed asynchronous optimization with unbounded delays: How slow can you go? Z Zhou, P Mertikopoulos, N Bambos, P Glynn, Y Ye, LJ Li, L Fei-Fei International Conference on Machine Learning, 5970-5979, 2018 | 71 | 2018 |
| On the convergence of gradient-like flows with noisy gradient input P Mertikopoulos, M Staudigl SIAM Journal on Optimization 28 (1), 163-197, 2018 | 70 | 2018 |
Aris L. MoustakasPhysics Department, National and Kapodistrian University of Athens, GreeceVerified email at phys.uoa.gr
