Panayotis Mertikopoulos

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 155

Top Venues

Publications

Davide Legacci, Panayotis Mertikopoulos, Bary S. R. Pradelski
A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights. CoRR (2024)
Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher
A unified stochastic approximation framework for learning in games. Math. Program. 203 (1) (2024)
Panayotis Mertikopoulos, William H. Sandholm
Nested replicator dynamics, nested logit choice, and similarity-based learning. CoRR (2024)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
What is the long-run distribution of stochastic gradient descent? A large deviations analysis. CoRR (2024)
Fryderyk Falniowski, Panayotis Mertikopoulos
On the discrete-time origins of replicator dynamics: from convergence to instability and chaos. CoRR (2024)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness. SIAM J. Optim. 34 (3) (2024)
Panayotis Mertikopoulos, William H. Sandholm
Nested replicator dynamics, nested logit choice, and similarity-based learning. J. Econ. Theory 220 (2024)
Iosif Lytras, Panayotis Mertikopoulos
Tamed Langevin sampling under weaker conditions. CoRR (2024)
Iosif Sakos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium. NeurIPS (2023)
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet
Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games. NeurIPS (2023)
Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause, Panayotis Mertikopoulos
Riemannian stochastic optimization methods avoid strict saddle points. NeurIPS (2023)
Victor Boone, Panayotis Mertikopoulos
The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games. NeurIPS (2023)
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet
Payoff-based learning with matrix multiplicative weights in quantum games. CoRR (2023)
Francisca Vasconcelos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras, Michael I. Jordan
A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games. CoRR (2023)
Victor Boone, Panayotis Mertikopoulos
The equivalence of dynamic and strategic stability under regularized learning in games. CoRR (2023)
Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen
Multiagent Online Learning in Time-Varying Games. Math. Oper. Res. 48 (2) (2023)
Ya-Ping Hsieh, Mohammad Reza Karimi, Andreas Krause, Panayotis Mertikopoulos
Riemannian stochastic optimization methods avoid strict saddle points. CoRR (2023)
Iosif Sakos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium. CoRR (2023)
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos
The Stability of Matrix Multiplicative Weights Dynamics in Quantum Games. CDC (2023)
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos
Learning in quantum games. CoRR (2023)
Coralia Cartis, Panayotis Mertikopoulos
Optimization Challenges in Data Science - Special Issue Editorial. EURO J. Comput. Optim. 11 (2023)
Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati
Nested Bandits. ICML (2022)
Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause
The Dynamics of Riemannian Robbins-Monro Algorithms. CoRR (2022)
Marina Costantini, Nikolaos Liakopoulos, Panayotis Mertikopoulos, Thrasyvoulos Spyropoulos
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization. CDC (2022)
Marina Costantini, Nikolaos Liakopoulos, Panayotis Mertikopoulos, Thrasyvoulos Spyropoulos
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization. CoRR (2022)
Bruno Donassolo, Arnaud Legrand, Panayotis Mertikopoulos, Ilhem Fajjari
Online Reconfiguration of IoT Applications in the Fog: The Information-Coordination Trade-Off. IEEE Trans. Parallel Distributed Syst. 33 (5) (2022)
Kimon Antonakopoulos, Panayotis Mertikopoulos, Georgios Piliouras, Xiao Wang
AdaGrad Avoids Saddle Points. ICML (2022)
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos
Learning in Games with Quantized Payoff Observations. CDC (2022)
Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation. CoRR (2022)
Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil-Vasileios Vlatakis-Gkaragkounis
On the convergence of policy gradient methods to Nash equilibria in general stochastic games. CoRR (2022)
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
Distributed Stochastic Optimization with Large Delays. Math. Oper. Res. 47 (3) (2022)
Elena Veronica Belmega, Panayotis Mertikopoulos, Romain Negrel
Online convex optimization in wireless networks and beyond: The feedback-performance trade-off. WiOpt (2022)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. J. Mach. Learn. Res. 23 (2022)
Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati
Nested bandits. CoRR (2022)
Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause
The Dynamics of Riemannian Robbins-Monro Algorithms. COLT (2022)
Dong Quan Vu, Kimon Antonakopoulos, Panayotis Mertikopoulos
Routing in an Uncertain World: Adaptivity, Efficiency, and Equilibrium. CoRR (2022)
Panayotis Mertikopoulos, Yannick Viossat
Survival of dominated strategies under imitation dynamics. CoRR (2022)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
On the rate of convergence of Bregman proximal methods in constrained variational inequalities. CoRR (2022)
Tianyi Lin, Panayotis Mertikopoulos, Michael I. Jordan
Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee. CoRR (2022)
Benjamin Roussillon, Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos
Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources. ALT (2022)
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos
Learning in Games with Quantized Payoff Observations. CoRR (2022)
Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation. NeurIPS (2022)
Kimon Antonakopoulos, Dong Quan Vu, Volkan Cevher, Kfir Y. Levy, Panayotis Mertikopoulos
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees. ICML (2022)
Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil-Vasileios Vlatakis-Gkaragkounis
On the convergence of policy gradient methods to Nash equilibria in general stochastic games. NeurIPS (2022)
Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher
Learning in games from a stochastic approximation viewpoint. CoRR (2022)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Optimization in Open Networks via Dual Averaging. CDC (2021)
Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos
On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond. NeurIPS (2021)
Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach. ICML (2021)
Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos, Benjamin Roussillon
Asymptotic Degradation of Linear Regression Estimates With Strategic Data Sources. CoRR (2021)
Kimon Antonakopoulos, Elena Veronica Belmega, Panayotis Mertikopoulos
Adaptive Extra-Gradient Methods for Min-Max Optimization and Games. ICLR (2021)
Saeed Hadikhanloo, Rida Laraki, Panayotis Mertikopoulos, Sylvain Sorin
Learning in nonatomic games, Part I: Finite action spaces and population games. CoRR (2021)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Zeroth-order non-convex learning via hierarchical dual averaging. CoRR (2021)
Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Nicholas Bambos, Peter W. Glynn
Robust Power Management via Learning and Game Design. Oper. Res. 69 (1) (2021)
Dong Quan Vu, Kimon Antonakopoulos, Panayotis Mertikopoulos
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights. NeurIPS (2021)
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
Distributed stochastic optimization with large delays. CoRR (2021)
Benjamin Heymann, Panayotis Mertikopoulos
A heuristic for estimating Nash equilibria in first-price auctions with correlated values. CoRR (2021)
Kimon Antonakopoulos, Thomas Pethick, Ali Kavis, Panayotis Mertikopoulos, Volkan Cevher
Sifting through the noise: Universal first-order methods for stochastic variational inequalities. NeurIPS (2021)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. COLT (2021)
Kimon Antonakopoulos, Panayotis Mertikopoulos
Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements. CoRR (2021)
Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos
From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable. CoRR (2021)
Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information. COLT (2021)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Optimization in Open Networks via Dual Averaging. CoRR (2021)
Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium. CoRR (2021)
Kimon Antonakopoulos, Panayotis Mertikopoulos
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements. NeurIPS (2021)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. CoRR (2021)
Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets. ICML (2021)
Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium. COLT (2021)
Panayotis Mertikopoulos, Mathias Staudigl
Equilibrium Tracking and Convergence in Dynamic Games. CDC (2021)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging. ICML (2021)
Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. NeurIPS (2020)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Online Non-Convex Optimization with Imperfect Feedback. NeurIPS (2020)
Olivier Bilenne, Panayotis Mertikopoulos, Elena Veronica Belmega
Fast Gradient-Free Optimization in Distributed Multi-User MIMO Systems. CoRR (2020)
Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher
The limits of min-max optimization algorithms: convergence to spurious non-critical sets. CoRR (2020)
Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos, Michael I. Jordan
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games. CoRR (2020)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. CoRR (2020)
Panayotis Mertikopoulos, Heinrich H. Nax, Bary S. R. Pradelski
Quick or cheap? Breaking points in dynamic markets. CoRR (2020)
Olivier Bilenne, Panayotis Mertikopoulos, Elena Veronica Belmega
Fast Optimization With Zeroth-Order Feedback in Distributed, Multi-User MIMO Systems. IEEE Trans. Signal Process. 68 (2020)
Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix. NeurIPS (2020)
Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher
A new regret analysis for Adam-type algorithms. CoRR (2020)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. CoRR (2020)
Olivier Bilenne, Panayotis Mertikopoulos, Elena Veronica Belmega
Derivative-Free Optimization over Multi-user MIMO Networks. NetGCooP (2020)
Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos, Michael I. Jordan
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games. ICML (2020)
Panayotis Mertikopoulos, Heinrich H. Nax, Bary S. R. Pradelski
Quick or Cheap? Breaking Points in Dynamic Markets. EC (2020)
Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
Gradient-free Online Learning in Games with Delayed Rewards. CoRR (2020)
Kimon Antonakopoulos, Elena Veronica Belmega, Panayotis Mertikopoulos
Adaptive extra-gradient methods for min-max optimization and games. CoRR (2020)
Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras
No-regret learning and mixed Nash equilibria: They do not mix. CoRR (2020)
Kimon Antonakopoulos, Elena Veronica Belmega, Panayotis Mertikopoulos
Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach. ICLR (2020)
Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher
Regret minimization in stochastic non-convex learning via a proximal-gradient approach. CoRR (2020)
Riccardo Colini-Baldeschi, Roberto Cominetti, Panayotis Mertikopoulos, Marco Scarsini
When Is Selfish Routing Bad? The Price of Anarchy in Light and Heavy Traffic. Oper. Res. 68 (2) (2020)
Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. CoRR (2020)
Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher
A new regret analysis for Adam-type algorithms. ICML (2020)
Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
Gradient-free Online Learning in Continuous Games with Delayed Rewards. ICML (2020)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. NeurIPS (2020)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Online non-convex optimization with imperfect feedback. CoRR (2020)
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn
On the Convergence of Mirror Descent beyond Stochastic Convex Programming. SIAM J. Optim. 30 (1) (2020)
Alexandre Marcastel, Elena Veronica Belmega, Inbar Fijalkow, Panayotis Mertikopoulos
Gradient-free Online Resource Allocation Algorithms for Dynamic Wireless Networks. SPAWC (2019)
Bruno Donassolo, Ilhem Fajjari, Arnaud Legrand, Panayotis Mertikopoulos
Fog Based Framework for IoT Service Provisioning. CCNC (2019)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
On the convergence of single-call stochastic extra-gradient methods. NeurIPS (2019)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
On the convergence of single-call stochastic extra-gradient methods. CoRR (2019)
Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile. ICLR (Poster) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Panayotis Mertikopoulos