Panayotis Mertikopoulos

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	All	Since 2018
Citations	3501	2956
h-index	34	31
i10-index	74	63

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Co-authors

Aris L. MoustakasPhysics Department, National and Kapodistrian University of Athens, GreeceVerified email at phys.uoa.gr
E. Veronica BelmegaUniversité Gustave Eiffel, CNRS, LIGMVerified email at esiee.fr
Zhengyuan ZhouDept of Technology, Operations and Statistics at NYU SternVerified email at stern.nyu.edu
Peter W. GlynnProfessor of Management Science and EngineeringVerified email at stanford.edu
Mathias StaudiglAssociate Professor for Multi-agent optimizationVerified email at maastrichtuniversity.nl
Kimon AntonakopoulosLIONS-EPFLVerified email at epfl.ch
Georgios PiliourasSingapore University of Technology and DesignVerified email at sutd.edu.sg
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar.Verified email at epfl.ch
Jérôme MalickCNRSVerified email at univ-grenoble-alpes.fr
Luca SanguinettiAssociate Professor, Pisa University, ItalyVerified email at unipi.it
Yu-Guan HsiehLJK - Univ. Grenoble Alpes - MIAIVerified email at univ-grenoble-alpes.fr
Franck IutzelerUniv. Grenoble Alpes -- LJKVerified email at univ-grenoble-alpes.fr
Amélie HéliouCAILVerified email at polytechnique.edu
William H. SandholmProfessor of Economics, University of WisconsinVerified email at ssc.wisc.edu
Houssam ZenatiPhD Student, Inria, Criteo AI LabVerified email at criteo.com
Georgios PaschosDirector, Research Science, AmazonVerified email at amazon.lu
Emmanouil-Vasileios Vlatakis-Gkarag...PhD Candidate in Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Sergio PalazzoProfessor, University of Catania, ItalyVerified email at dieei.unict.it
Salvatore D'OroResearch Assistant Professor, Northeastern University, Boston, USAVerified email at northeastern.edu
Rida LarakiCNRS (Dauphine-PSL France) and Liverpool UniVerified email at dauphine.fr

Panayotis Mertikopoulos

CNRS

Verified email at imag.fr - Homepage

Game Theory Online Learning Optimization Machine Learning Networks


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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	244*	2019
Cycles in adversarial regularized learning P Mertikopoulos, C Papadimitriou, G Piliouras Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018	233	2018
Learning in games with continuous action sets and unknown payoff functions P Mertikopoulos, Z Zhou Mathematical Programming 173, 465-507, 2019	208	2019
Learning in games via reinforcement and regularization P Mertikopoulos, WH Sandholm Mathematics of Operations Research 41 (4), 1297-1324, 2016	132	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	113	2018
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	110	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	84	2015
Bandit learning in concave N-person games M Bravo, D Leslie, P Mertikopoulos Advances in Neural Information Processing Systems 31, 2018	83	2018
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	82	2017
Learning with bandit feedback in potential games A Heliou, J Cohen, P Mertikopoulos Advances in Neural Information Processing Systems 30, 2017	76	2017
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	73	2019
Distributed learning policies for power allocation in multiple access channels P Mertikopoulos, EV Belmega, AL Moustakas, S Lasaulce Selected Areas in Communications, IEEE Journal on 30 (1), 96-106, 2012	69	2012
Penalty-regulated dynamics and robust learning procedures in games P Coucheney, B Gaujal, P Mertikopoulos Mathematics of Operations Research 40 (3), 611-633, 2015	68	2015
On the convergence of gradient-like flows with noisy gradient input P Mertikopoulos, M Staudigl SIAM Journal on Optimization 28 (1), 163-197, 2018	57	2018
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	55	2021
A continuous-time approach to online optimization J Kwon, P Mertikopoulos arXiv preprint arXiv:1401.6956, 2014	53	2014
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	50	2018
Learning to be green: Robust energy efficiency maximization in dynamic MIMO–OFDM systems P Mertikopoulos, EV Belmega IEEE Journal on Selected Areas in Communications 34 (4), 743-757, 2016	50	2016
The emergence of rational behavior in the presence of stochastic perturbations P Mertikopoulos, AL Moustakas	50	2010
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	48	2019

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