Panayotis Mertikopoulos

229 papers A* 46A 2B 13Journal 133Unranked 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Swap Regret Minimization in Combinatorial Bandits.
CoRR
Andreas Kontogiannis, Vasilis Pollatos, Panayotis Mertikopoulos, Ioannis Panageas
2026 J jnl
The Computational Intractability of Not Worst Responding.
CoRR
Mete Seref Ahunbay, Paul W. Goldberg, Edwin Lock, Panayotis Mertikopoulos, Bary S. R. Pradelski, Bassel Tarbush
2025 J jnl
A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games.
Quantum
Francisca Vasconcelos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras, Michael I. Jordan
2025 J jnl
Characterizing the Convergence of Game Dynamics via Potentialness.
CoRR
Martin Bichler, Davide Legacci, Panayotis Mertikopoulos, Matthias Oberlechner, Bary S. R. Pradelski
2025 J jnl
Characterizing the Convergence of Game Dynamics via Potentialness.
Trans. Mach. Learn. Res.
Martin Bichler, Davide Legacci, Panayotis Mertikopoulos, Matthias Oberlechner, Bary S. R. Pradelski
2025 J jnl
Efficient Kernelized Learning in Polyhedral Games Beyond Full-Information: From Colonel Blotto to Congestion Games.
CoRR
Andreas Kontogiannis, Vasilis Pollatos, Gabriele Farina, Panayotis Mertikopoulos, Ioannis Panageas
2025 — conf
Invariance and Concentration Properties of Gradient-based Learning in Games.
CDC
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet
2025 J jnl
Multi-agent learning under uncertainty: Recurrence vs. concentration.
CoRR
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet
2025 J jnl
On the discrete-time origins of the replicator dynamics: from convergence to instability and chaos.
Int. J. Game Theory
Fryderyk Falniowski, Panayotis Mertikopoulos
2025 J jnl
Robust equilibria in continuous games: From strategic to dynamic robustness.
CoRR
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet
2025 J jnl
Setwise Coordinate Descent for Dual Asynchronous Decentralized Optimization.
IEEE Trans. Autom. Control.
Marina Costantini, Nikolaos Liakopoulos, Panayotis Mertikopoulos, Thrasyvoulos Spyropoulos
2025 A conf
Tamed Langevin sampling under weaker conditions.
AISTATS
Iosif Lytras, Panayotis Mertikopoulos
2025 A* conf
The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations.
ICML
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2025 J jnl
The global convergence time of stochastic gradient descent in non-convex landscapes: Sharp estimates via large deviations.
CoRR
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2025 A* conf
The impact of uncertainty on regularized learning in games.
ICML
Pierre-Louis Cauvin, Davide Legacci, Panayotis Mertikopoulos
2025 J jnl
The impact of uncertainty on regularized learning in games.
CoRR
Pierre-Louis Cauvin, Davide Legacci, Panayotis Mertikopoulos
2024 A* conf
A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights.
ICML
Davide Legacci, Panayotis Mertikopoulos, Bary S. R. Pradelski
2024 J jnl
A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights.
CoRR
Davide Legacci, Panayotis Mertikopoulos, Bary S. R. Pradelski
2024 J jnl
A unified stochastic approximation framework for learning in games.
Math. Program.
Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher
2024 A* conf
Accelerated Regularized Learning in Finite N-Person Games.
NeurIPS
Kyriakos Lotidis, Angeliki Giannou, Panayotis Mertikopoulos, Nicholas Bambos
2024 J jnl
Accelerated regularized learning in finite N-person games.
CoRR
Kyriakos Lotidis, Angeliki Giannou, Panayotis Mertikopoulos, Nicholas Bambos
2024 J jnl
Nested replicator dynamics, nested logit choice, and similarity-based learning.
CoRR
Panayotis Mertikopoulos, William H. Sandholm
2024 J jnl
Nested replicator dynamics, nested logit choice, and similarity-based learning.
J. Econ. Theory
Panayotis Mertikopoulos, William H. Sandholm
2024 A* conf
No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests.
NeurIPS
Davide Legacci, Panayotis Mertikopoulos, Christos H. Papadimitriou, Georgios Piliouras, Bary S. R. Pradelski
2024 J jnl
No-regret learning in harmonic games: Extrapolation in the face of conflicting interests.
CoRR
Davide Legacci, Panayotis Mertikopoulos, Christos H. Papadimitriou, Georgios Piliouras, Bary S. R. Pradelski
2024 J jnl
On the discrete-time origins of the replicator dynamics: From convergence to instability and chaos.
CoRR
Fryderyk Falniowski, Panayotis Mertikopoulos
2024 J jnl
Tamed Langevin sampling under weaker conditions.
CoRR
Iosif Lytras, Panayotis Mertikopoulos
2024 A* conf
The Computational Complexity of Finding Second-Order Stationary Points.
ICML
Andreas Kontogiannis, Vasilis Pollatos, Sotiris Kanellopoulos, Panayotis Mertikopoulos, Aris Pagourtzis, Ioannis Panageas
2024 J jnl
The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness.
SIAM J. Optim.
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2024 A* conf
What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis.
ICML
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2024 J jnl
What is the long-run distribution of stochastic gradient descent? A large deviations analysis.
CoRR
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2023 J jnl
A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games.
CoRR
Francisca Vasconcelos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras, Michael I. Jordan
2023 A* conf
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium.
NeurIPS
Iosif Sakos, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras
2023 J jnl
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium.
CoRR
Iosif Sakos, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras
2023 J jnl
Learning in quantum games.
CoRR
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos
2023 J jnl
Multiagent Online Learning in Time-Varying Games.
Math. Oper. Res.
Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen
2023 J jnl
Optimization Challenges in Data Science - Special Issue Editorial.
EURO J. Comput. Optim.
Coralia Cartis, Panayotis Mertikopoulos
2023 A* conf
Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games.
NeurIPS
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet
2023 J jnl
Payoff-based learning with matrix multiplicative weights in quantum games.
CoRR
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet
2023 A* conf
Riemannian stochastic optimization methods avoid strict saddle points.
NeurIPS
Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause, Panayotis Mertikopoulos
2023 J jnl
Riemannian stochastic optimization methods avoid strict saddle points.
CoRR
Ya-Ping Hsieh, Mohammad Reza Karimi, Andreas Krause, Panayotis Mertikopoulos
2023 A* conf
The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games.
NeurIPS
Victor Boone, Panayotis Mertikopoulos
2023 — conf
The Stability of Matrix Multiplicative Weights Dynamics in Quantum Games.
CDC
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos
2023 J jnl
The equivalence of dynamic and strategic stability under regularized learning in games.
CoRR
Victor Boone, Panayotis Mertikopoulos
2022 A* conf
AdaGrad Avoids Saddle Points.
ICML
Kimon Antonakopoulos, Panayotis Mertikopoulos, Georgios Piliouras, Xiao Wang
2022 B conf
Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources.
ALT
Benjamin Roussillon, Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos
2022 J jnl
Distributed Stochastic Optimization with Large Delays.
Math. Oper. Res.
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
2022 J jnl
Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee.
CoRR
Tianyi Lin, Panayotis Mertikopoulos, Michael I. Jordan
2022 — conf
Learning in Games with Quantized Payoff Observations.
CDC
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos
2022 J jnl
Learning in Games with Quantized Payoff Observations.
CoRR
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos
2022 J jnl
Learning in games from a stochastic approximation viewpoint.
CoRR
Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher
2022 J jnl
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism.
J. Mach. Learn. Res.
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2022 A* conf
Nested Bandits.
ICML
Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati
2022 J jnl
Nested bandits.
CoRR
Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati
2022 J jnl
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation.
CoRR
Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
2022 A* conf
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation.
NeurIPS
Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
2022 A* conf
On the convergence of policy gradient methods to Nash equilibria in general stochastic games.
NeurIPS
Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil V. Vlatakis-Gkaragkounis
2022 J jnl
On the convergence of policy gradient methods to Nash equilibria in general stochastic games.
CoRR
Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil V. Vlatakis-Gkaragkounis
2022 J jnl
On the rate of convergence of Bregman proximal methods in constrained variational inequalities.
CoRR
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2022 J jnl
Online Reconfiguration of IoT Applications in the Fog: The Information-Coordination Trade-Off.
IEEE Trans. Parallel Distributed Syst.
Bruno Donassolo, Arnaud Legrand, Panayotis Mertikopoulos, Ilhem Fajjari
2022 B conf
Online convex optimization in wireless networks and beyond: The feedback-performance trade-off.
WiOpt
Elena Veronica Belmega, Panayotis Mertikopoulos, Romain Negrel
2022 — conf
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization.
CDC
Marina Costantini, Nikolaos Liakopoulos, Panayotis Mertikopoulos, Thrasyvoulos Spyropoulos
2022 J jnl
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization.
CoRR
Marina Costantini, Nikolaos Liakopoulos, Panayotis Mertikopoulos, Thrasyvoulos Spyropoulos
2022 J jnl
Routing in an Uncertain World: Adaptivity, Efficiency, and Equilibrium.
CoRR
Dong Quan Vu, Kimon Antonakopoulos, Panayotis Mertikopoulos
2022 J jnl
Survival of dominated strategies under imitation dynamics.
CoRR
Panayotis Mertikopoulos, Yannick Viossat
2022 A* conf
The Dynamics of Riemannian Robbins-Monro Algorithms.
COLT
Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause
2022 J jnl
The Dynamics of Riemannian Robbins-Monro Algorithms.
CoRR
Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause
2022 A* conf
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees.
ICML
Kimon Antonakopoulos, Dong Quan Vu, Volkan Cevher, Kfir Y. Levy, Panayotis Mertikopoulos
2021 J jnl
A heuristic for estimating Nash equilibria in first-price auctions with correlated values.
CoRR
Benjamin Heymann, Panayotis Mertikopoulos
2021 A* conf
Adaptive Extra-Gradient Methods for Min-Max Optimization and Games.
ICLR
Kimon Antonakopoulos, Elena Veronica Belmega, Panayotis Mertikopoulos
2021 A* conf
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements.
NeurIPS
Kimon Antonakopoulos, Panayotis Mertikopoulos
2021 A* conf
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium.
COLT
Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos
2021 J jnl
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium.
CoRR
Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos
2021 J jnl
Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements.
CoRR
Kimon Antonakopoulos, Panayotis Mertikopoulos
2021 J jnl
Asymptotic Degradation of Linear Regression Estimates With Strategic Data Sources.
CoRR
Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos, Benjamin Roussillon
2021 J jnl
Distributed stochastic optimization with large delays.
CoRR
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
2021 — conf
Equilibrium Tracking and Convergence in Dynamic Games.
CDC
Panayotis Mertikopoulos, Mathias Staudigl
2021 A* conf
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights.
NeurIPS
Dong Quan Vu, Kimon Antonakopoulos, Panayotis Mertikopoulos
2021 J jnl
From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable.
CoRR
Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos
2021 J jnl
Learning in nonatomic games, Part I: Finite action spaces and population games.
CoRR
Saeed Hadikhanloo, Rida Laraki, Panayotis Mertikopoulos, Sylvain Sorin
2021 — ed.
Network Games, Control and Optimization - 10th International Conference, NetGCooP 2020, Cargèse, France, September 22-24, 2021, Proceedings
NetGCooP
Samson Lasaulce, Panayotis Mertikopoulos, Ariel Orda
2021 — conf
Optimization in Open Networks via Dual Averaging.
CDC
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2021 J jnl
Optimization in Open Networks via Dual Averaging.
CoRR
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2021 A* conf
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach.
ICML
Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher
2021 J jnl
Robust Power Management via Learning and Game Design.
Oper. Res.
Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Nicholas Bambos, Peter W. Glynn
2021 A* conf
Sifting through the noise: Universal first-order methods for stochastic variational inequalities.
NeurIPS
Kimon Antonakopoulos, Thomas Pethick, Ali Kavis, Panayotis Mertikopoulos, Volkan Cevher
2021 A* conf
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information.
COLT
Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos
2021 A* conf
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities.
COLT
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2021 J jnl
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities.
CoRR
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2021 A* conf
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets.
ICML
Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher
2021 A* conf
The convergence rate of regularized learning in games: From bandits and uncertainty to optimism and beyond.
NeurIPS
Angeliki Giannou, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos
2021 A* conf
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging.
ICML
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2021 J jnl
Zeroth-order non-convex learning via hierarchical dual averaging.
CoRR
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2020 A* conf
A new regret analysis for Adam-type algorithms.
ICML
Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher
2020 J jnl
A new regret analysis for Adam-type algorithms.
CoRR
Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher
2020 J jnl
Adaptive extra-gradient methods for min-max optimization and games.
CoRR
Kimon Antonakopoulos, Elena Veronica Belmega, Panayotis Mertikopoulos
2020 — conf
Derivative-Free Optimization over Multi-user MIMO Networks.
NetGCooP
Olivier Bilenne, Panayotis Mertikopoulos, Elena Veronica Belmega
2020 A* conf
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling.
NeurIPS
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2020 J jnl
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling.
CoRR
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2020 J jnl
Fast Gradient-Free Optimization in Distributed Multi-User MIMO Systems.
CoRR
Olivier Bilenne, Panayotis Mertikopoulos, Elena Veronica Belmega
2020 J jnl
Fast Optimization With Zeroth-Order Feedback in Distributed, Multi-User MIMO Systems.
IEEE Trans. Signal Process.
Olivier Bilenne, Panayotis Mertikopoulos, Elena Veronica Belmega
2020 A* conf
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games.
ICML
Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos, Michael I. Jordan
2020 J jnl
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games.
CoRR
Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos, Michael I. Jordan
2020 A* conf
Gradient-free Online Learning in Continuous Games with Delayed Rewards.
ICML
Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
2020 J jnl
Gradient-free Online Learning in Games with Delayed Rewards.
CoRR
Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
2020 J jnl
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism.
CoRR
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2020 A* conf
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix.
NeurIPS
Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras
2020 J jnl
No-regret learning and mixed Nash equilibria: They do not mix.
CoRR
Lampros Flokas, Emmanouil V. Vlatakis-Gkaragkounis, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras
2020 A* conf
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems.
NeurIPS
Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher
2020 J jnl
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems.
CoRR
Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher
2020 J jnl
On the Convergence of Mirror Descent beyond Stochastic Convex Programming.
SIAM J. Optim.
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn
2020 A* conf
Online Non-Convex Optimization with Imperfect Feedback.
NeurIPS
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2020 A* conf
Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach.
ICLR
Kimon Antonakopoulos, Elena Veronica Belmega, Panayotis Mertikopoulos
2020 J jnl
Online non-convex optimization with imperfect feedback.
CoRR
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2020 A* conf
Quick or Cheap? Breaking Points in Dynamic Markets.
EC
Panayotis Mertikopoulos, Heinrich H. Nax, Bary S. R. Pradelski
2020 J jnl
Quick or cheap? Breaking points in dynamic markets.
CoRR
Panayotis Mertikopoulos, Heinrich H. Nax, Bary S. R. Pradelski
2020 J jnl
Regret minimization in stochastic non-convex learning via a proximal-gradient approach.
CoRR
Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher
2020 J jnl
The limits of min-max optimization algorithms: convergence to spurious non-critical sets.
CoRR
Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher
2020 J jnl
When Is Selfish Routing Bad? The Price of Anarchy in Light and Heavy Traffic.
Oper. Res.
Riccardo Colini-Baldeschi, Roberto Cominetti, Panayotis Mertikopoulos, Marco Scarsini
2019 A* conf
An adaptive Mirror-Prox method for variational inequalities with singular operators.
NeurIPS
Kimon Antonakopoulos, Elena Veronica Belmega, Panayotis Mertikopoulos
2019 A* conf
Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints.
ICML
Nikolaos Liakopoulos, Apostolos Destounis, Georgios S. Paschos, Thrasyvoulos Spyropoulos, Panayotis Mertikopoulos
2019 — conf
Demo: Fog Based Framework for IoT Service Orchestration.
CCNC
Bruno Donassolo, Ilhem Fajjari, Arnaud Legrand, Panayotis Mertikopoulos
2019 — conf
Fog Based Framework for IoT Service Provisioning.
CCNC
Bruno Donassolo, Ilhem Fajjari, Arnaud Legrand, Panayotis Mertikopoulos
2019 J jnl
Forward-backward-forward methods with variance reduction for stochastic variational inequalities.
CoRR
Radu Ioan Bot, Panayotis Mertikopoulos, Mathias Staudigl, Phan Tu Vuong
2019 — conf
Gradient-free Online Resource Allocation Algorithms for Dynamic Wireless Networks.
SPAWC
Alexandre Marcastel, Elena Veronica Belmega, Inbar Fijalkow, Panayotis Mertikopoulos
2019 J jnl
Hessian Barrier Algorithms for Linearly Constrained Optimization Problems.
SIAM J. Optim.
Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl
2019 A* conf
Large-Scale Network Utility Maximization: Countering Exponential Growth with Exponentiated Gradients.
INFOCOM
Luigi Vigneri, Georgios S. Paschos, Panayotis Mertikopoulos
2019 J jnl
Learning in games with continuous action sets and unknown payoff functions.
Math. Program.
Panayotis Mertikopoulos, Zhengyuan Zhou
2019 — conf
Load Aware Provisioning of IoT Services on Fog Computing Platform.
ICC
Bruno Donassolo, Ilhem Fajjari, Arnaud Legrand, Panayotis Mertikopoulos
2019 A* conf
On the convergence of single-call stochastic extra-gradient methods.
NeurIPS
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2019 J jnl
On the convergence of single-call stochastic extra-gradient methods.
CoRR
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2019 J jnl
Online Power Optimization in Feedback-Limited, Dynamic and Unpredictable IoT Networks.
IEEE Trans. Signal Process.
Alexandre Marcastel, Elena Veronica Belmega, Panayotis Mertikopoulos, Inbar Fijalkow
2019 — conf
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile.
ICLR (Poster)
Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
2018 A* conf
A Resource Allocation Framework for Network Slicing.
INFOCOM
Mathieu Leconte, Georgios S. Paschos, Panayotis Mertikopoulos, Ulas C. Kozat
2018 A* conf
Bandit Learning in Concave N-Person Games.
NeurIPS
Mario Bravo, David S. Leslie, Panayotis Mertikopoulos
2018 J jnl
Bandit learning in concave N-person games.
CoRR
Mario Bravo, David S. Leslie, Panayotis Mertikopoulos
2018 A* conf
Cycles in Adversarial Regularized Learning.
SODA
Panayotis Mertikopoulos, Christos H. Papadimitriou, Georgios Piliouras
2018 A* conf
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go?
ICML
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei
2018 J jnl
Hessian barrier algorithms for linearly constrained optimization problems.
CoRR
Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl
2018 A* conf
Learning in Games with Lossy Feedback.
NeurIPS
Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
2018 J jnl
Learning in time-varying games.
CoRR
Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen
2018 J jnl
Mirror descent in saddle-point problems: Going the extra (gradient) mile.
CoRR
Panayotis Mertikopoulos, Houssam Zenati, Bruno Lecouat, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
2018 J jnl
On the Convergence of Gradient-Like Flows with Noisy Gradient Input.
SIAM J. Optim.
Panayotis Mertikopoulos, Mathias Staudigl
2018 J jnl
Online convex optimization and no-regret learning: Algorithms, guarantees and applications.
CoRR
Elena Veronica Belmega, Panayotis Mertikopoulos, Romain Negrel, Luca Sanguinetti
2018 — conf
Power Control with Random Delays: Robust Feedback Averaging.
CDC
Andrew Ward, Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos
2018 J jnl
Riemannian game dynamics.
J. Econ. Theory
Panayotis Mertikopoulos, William H. Sandholm
2018 J jnl
Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities.
J. Optim. Theory Appl.
Panayotis Mertikopoulos, Mathias Staudigl
2017 J jnl
Auction-based resource allocation in OpenFlow multi-tenant networks.
Comput. Networks
Salvatore D'Oro, Laura Galluccio, Panayotis Mertikopoulos, Giacomo Morabito, Sergio Palazzo
2017 — conf
Convergence to nash equilibrium in continuous games with noisy first-order feedback.
CDC
Panayotis Mertikopoulos, Mathias Staudigl
2017 — conf
Countering Feedback Delays in Multi-Agent Learning.
NIPS
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Claire J. Tomlin
2017 J jnl
Cycles in adversarial regularized learning.
CoRR
Panayotis Mertikopoulos, Christos H. Papadimitriou, Georgios Piliouras
2017 J jnl
Distributed Stochastic Optimization via Matrix Exponential Learning.
IEEE Trans. Signal Process.
Panayotis Mertikopoulos, Elena Veronica Belmega, Romain Negrel, Luca Sanguinetti
2017 B conf
Hedging Under Uncertainty: Regret Minimization Meets Exponentially Fast Convergence.
SAGT
Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos
2017 — conf
Learning with Bandit Feedback in Potential Games.
NIPS
Amélie Héliou, Johanne Cohen, Panayotis Mertikopoulos
2017 B conf
Least action routing: Identifying the optimal path in a wireless relay network.
PIMRC
Aris L. Moustakas, Panayotis Mertikopoulos, Zhengyuan Zhou, Nick Bambos
2017 J jnl
Mirror descent in non-convex stochastic programming.
CoRR
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn
2017 — conf
Mirror descent learning in continuous games.
CDC
Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Nicholas Bambos, Peter W. Glynn
2017 J jnl
Mixed-Strategy Learning With Continuous Action Sets.
IEEE Trans. Autom. Control.
Steven Perkins, Panayotis Mertikopoulos, David S. Leslie
2017 J jnl
On the asymptotic behavior of the price of anarchy: Is selfish routing bad in highly congested networks?
CoRR
Riccardo Colini-Baldeschi, Roberto Cominetti, Panayotis Mertikopoulos, Marco Scarsini
2017 J jnl
On the robustness of learning in games with stochastically perturbed payoff observations.
Games Econ. Behav.
Mario Bravo, Panayotis Mertikopoulos
2017 J jnl
Semi-Cognitive Radio Networks: A Novel Dynamic Spectrum Sharing Mechanism.
IEEE Trans. Cogn. Commun. Netw.
Alireza Shams Shafigh, Panayotis Mertikopoulos, Savo Glisic, Yuguang Michael Fang
2017 B conf
Stable Power Control in Wireless Networks via Dual Averaging.
GLOBECOM
Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Saied Mehdian, Nicholas Bambos, Peter W. Glynn
2017 — conf
Stochastic Mirror Descent in Variationally Coherent Optimization Problems.
NIPS
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn
2017 — conf
The Asymptotic Behavior of the Price of Anarchy.
WINE
Riccardo Colini-Baldeschi, Roberto Cominetti, Panayotis Mertikopoulos, Marco Scarsini
2016 — conf
A novel dynamic network architecture model based on stochastic geometry and game theory.
ICC
Alireza Shams Shafigh, Panayotis Mertikopoulos, Savo Glisic
2016 J jnl
Boltzmann meets Nash: Energy-efficient routing in optical networks under uncertainty.
CoRR
Panayotis Mertikopoulos, Aris L. Moustakas, Anna Tzanakaki
2016 — conf
Distributed learning for resource allocation under uncertainty.
GlobalSIP
Panayotis Mertikopoulos, Elena Veronica Belmega, Luca Sanguinetti
2016 J jnl
Distributed stochastic optimization via matrix exponential learning.
CoRR
Panayotis Mertikopoulos, Elena Veronica Belmega, Romain Negrel, Luca Sanguinetti
2016 J jnl
Exponentially fast convergence to (strict) equilibrium via hedging.
CoRR
Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos
2016 J jnl
Imitation dynamics with payoff shocks.
Int. J. Game Theory
Panayotis Mertikopoulos, Yannick Viossat
2016 J jnl
Learning in Games via Reinforcement and Regularization.
Math. Oper. Res.
Panayotis Mertikopoulos, William H. Sandholm
2016 J jnl
Learning in an Uncertain World: MIMO Covariance Matrix Optimization With Imperfect Feedback.
IEEE Trans. Signal Process.
Panayotis Mertikopoulos, Aris L. Moustakas
2016 J jnl
Learning in concave games with imperfect information.
CoRR
Panayotis Mertikopoulos
2016 J jnl
Learning to Be Green: Robust Energy Efficiency Maximization in Dynamic MIMO-OFDM Systems.
IEEE J. Sel. Areas Commun.
Panayotis Mertikopoulos, Elena Veronica Belmega
2016 J jnl
On the convergence of gradient-like flows with noisy gradient input.
CoRR
Panayotis Mertikopoulos, Mathias Staudigl
2016 — conf
Online Interference Mitigation via Learning in Dynamic IoT Environments.
GLOBECOM Workshops
Alexandre Marcastel, Elena Veronica Belmega, Panayotis Mertikopoulos, Inbar Fijalkow
2016 — conf
Online Power Allocation for Opportunistic Radio Access in Dynamic OFDM Networks.
VTC Fall
Alexandre Marcastel, Elena Veronica Belmega, Panayotis Mertikopoulos, Inbar Fijalkow
2016 J jnl
Power Optimization in Random Wireless Networks.
IEEE Trans. Inf. Theory
Aris L. Moustakas, Panayotis Mertikopoulos, Nicholas Bambos
2016 J jnl
Riemannian game dynamics.
CoRR
Panayotis Mertikopoulos, William H. Sandholm
2015 J jnl
A stochastic approximation algorithm for stochastic semidefinite programming.
CoRR
Bruno Gaujal, Panayotis Mertikopoulos
2015 J jnl
Adaptive Power Allocation and Control in Time-Varying Multi-Carrier MIMO Networks.
CoRR
Ioannis Stiakogiannakis, Panayotis Mertikopoulos, Corinne Touati
2015 J jnl
Cost-Efficient Throughput Maximization in Multi-Carrier Cognitive Radio Systems.
CoRR
Salvatore D'Oro, Panayotis Mertikopoulos, Aris L. Moustakas, Sergio Palazzo
2015 J jnl
Energy-Aware Competitive Power Allocation for Heterogeneous Networks Under QoS Constraints.
IEEE Trans. Wirel. Commun.
Giacomo Bacci, Elena Veronica Belmega, Panayotis Mertikopoulos, Luca Sanguinetti
2015 — conf
Energy-Efficient Power Allocation in Dynamic Multi-Carrier Systems.
VTC Spring
Elena Veronica Belmega, Panayotis Mertikopoulos
2015 J jnl
In an Uncertain World: Distributed Optimization in MIMO Systems with Imperfect Information.
CoRR
Panayotis Mertikopoulos, Aris L. Moustakas
2015 J jnl
Inertial Game Dynamics and Applications to Constrained Optimization.
SIAM J. Control. Optim.
Rida Laraki, Panayotis Mertikopoulos
2015 J jnl
Interference-Based Pricing for Opportunistic Multicarrier Cognitive Radio Systems.
IEEE Trans. Wirel. Commun.
Salvatore D'Oro, Panayotis Mertikopoulos, Aris L. Moustakas, Sergio Palazzo
2015 J jnl
Learning to be green: robust energy efficiency maximization in dynamic MIMO-OFDM systems.
CoRR
Panayotis Mertikopoulos, Elena Veronica Belmega
2015 B conf
No more tears: A no-regret approach to power control in dynamically varying MIMO networks.
WiOpt
Ioannis Stiakogiannakis, Panayotis Mertikopoulos, Corinne Touati
2015 J jnl
Penalty-Regulated Dynamics and Robust Learning Procedures in Games.
Math. Oper. Res.
Pierre Coucheney, Bruno Gaujal, Panayotis Mertikopoulos
2014 J jnl
A continuous-time approach to online optimization.
CoRR
Joon Kwon, Panayotis Mertikopoulos
2014 B conf
Adaptive transmit policies for cost-efficient power allocation in multi-carrier systems.
WiOpt
Salvatore D'Oro, Panayotis Mertikopoulos, Aris L. Moustakas, Sergio Palazzo
2014 B conf
Distributed optimization in multi-user MIMO systems with imperfect and delayed information.
ISIT
Pierre Coucheney, Bruno Gaujal, Panayotis Mertikopoulos
2014 J jnl
Energy-Aware Competitive Power Allocation for Heterogeneous Networks Under QoS Constraints.
CoRR
Giacomo Bacci, Elena Veronica Belmega, Panayotis Mertikopoulos, Luca Sanguinetti
2014 B conf
Energy-aware competitive link adaptation in small-cell networks.
WiOpt
Giacomo Bacci, Elena Veronica Belmega, Panayotis Mertikopoulos, Luca Sanguinetti
2014 J jnl
Game-theoretical control with continuous action sets.
CoRR
Steven Perkins, Panayotis Mertikopoulos, David S. Leslie
2014 J jnl
Imitation Dynamics with Payoff Shocks.
CoRR
Panayotis Mertikopoulos, Yannick Viossat
2014 — conf
No regrets: Distributed power control under time-varying channels and QoS requirements.
Allerton
Ioannis Stiakogiannakis, Panayotis Mertikopoulos, Corinne Touati
2014 J jnl
On the Robustness of Learning in Games with Stochastically Perturbed Payoff Observations.
CoRR
Mario Bravo, Panayotis Mertikopoulos
2014 J jnl
Regularized Best Responses and Reinforcement Learning in Games.
CoRR
Panayotis Mertikopoulos, William H. Sandholm
2014 J jnl
Transmit without Regrets: Online Optimization in MIMO-OFDM Cognitive Radio Systems.
IEEE J. Sel. Areas Commun.
Panayotis Mertikopoulos, Elena Veronica Belmega
2014 J jnl
Transmit without regrets: Online optimization in MIMO-OFDM cognitive radio systems.
CoRR
Panayotis Mertikopoulos, Elena Veronica Belmega
2013 A conf
Accelerating population-based search heuristics by adaptive resource allocation.
GECCO
Joachim Lepping, Panayotis Mertikopoulos, Denis Trystram
2013 — conf
Adaptive spectrum management in MIMO-OFDM cognitive radio: an exponential learning approach.
VALUETOOLS
Panayotis Mertikopoulos, Elena Veronica Belmega
2013 J jnl
Entropy-driven dynamics and robust learning procedures in games
CoRR
Pierre Coucheney, Bruno Gaujal, Panayotis Mertikopoulos
2013 — conf
Entropy-driven optimization dynamics for Gaussian vector multiple access channels.
ICC Workshops
Panayotis Mertikopoulos, Aris L. Moustakas
2013 J jnl
Higher order game dynamics.
J. Econ. Theory
Rida Laraki, Panayotis Mertikopoulos
2013 J jnl
Inertial game dynamics and applications to constrained optimization
CoRR
Rida Laraki, Panayotis Mertikopoulos
2013 B conf
Riemannian-geometric optimization methods for MIMO multiple access channels.
ISIT
Panayotis Mertikopoulos, Aris L. Moustakas
2012 J jnl
Distributed Learning Policies forPower Allocation in Multiple Access Channels.
IEEE J. Sel. Areas Commun.
Panayotis Mertikopoulos, Elena Veronica Belmega, Aris L. Moustakas, Samson Lasaulce
2012 J jnl
Higher Order Game Dynamics
CoRR
Rida Laraki, Panayotis Mertikopoulos
2012 B conf
Matrix exponential learning: Distributed optimization in MIMO systems.
ISIT
Panayotis Mertikopoulos, Elena Veronica Belmega, Aris L. Moustakas
2012 — conf
Strange bedfellows: Riemann, gibbs and vector Gaussian multiple access channels.
NetGCooP
Panayotis Mertikopoulos
2011 J jnl
Distributed Learning Policies for Power Allocation in Multiple Access Channels
CoRR
Panayotis Mertikopoulos, Elena Veronica Belmega, Aris L. Moustakas, Samson Lasaulce
2011 — conf
Dynamic power allocation games in parallel multiple access channels.
VALUETOOLS
Panayotis Mertikopoulos, Elena Veronica Belmega, Aris L. Moustakas, Samson Lasaulce
2011 J jnl
Living at the Edge: A Large Deviations Approach to the Outage MIMO Capacity.
IEEE Trans. Inf. Theory
Pavlos Kazakopoulos, Panayotis Mertikopoulos, Aris L. Moustakas, Giuseppe Caire
2011 — conf
Selfish routing revisited: degeneracy, evolution and stochastic fluctuations.
VALUETOOLS
Panayotis Mertikopoulos, Aris L. Moustakas
2010 — conf
Balancing traffic in networks: redundancy, learning, and the effect of stochastic fluctuations.
BQGT
Panayotis Mertikopoulos, Aris L. Moustakas
2010 J jnl
Dynamic Power Allocation Games in Parallel Multiple Access Channels
CoRR
Panayotis Mertikopoulos, Elena Veronica Belmega, Aris L. Moustakas, Samson Lasaulce
2009 J jnl
Balancing Traffic in Networks: Redundancy, Learning and the Effect of Stochastic Fluctuations
CoRR
Panayotis Mertikopoulos, Aris L. Moustakas
2009 B conf
Distribution of MIMO mutual information: A large deviations approach.
ITW
Pavlos Kazakopoulos, Panayotis Mertikopoulos, Aris L. Moustakas, Giuseppe Caire
2009 — conf
Learning in the presence of noise.
GAMENETS
Panayotis Mertikopoulos, Aris L. Moustakas
2009 J jnl
Living at the Edge: A Large Deviations Approach to the Outage MIMO Capacity
CoRR
Pavlos Kazakopoulos, Panayotis Mertikopoulos, Aris L. Moustakas, Giuseppe Caire
2009 J jnl
Rational Behaviour in the Presence of Stochastic Perturbations
CoRR
Panayotis Mertikopoulos, Aris L. Moustakas
2008 J jnl
Correlated Anarchy in Overlapping Wireless Networks
CoRR
Panayotis Mertikopoulos, Aris L. Moustakas
2008 J jnl
Correlated Anarchy in Overlapping Wireless Networks.
IEEE J. Sel. Areas Commun.
Panayotis Mertikopoulos, Aris L. Moustakas
2008 — conf
Vertical Handover between Wireless Standards.
ICC
Nikos Dimitriou, Panayotis Mertikopoulos, Aris L. Moustakas
2008 B conf
Vertical handover between wireless service providers.
WiOpt
Panayotis Mertikopoulos, Aris L. Moustakas, Nikos Dimitriou
2007 — conf
The simplex game: can selfish users learn to operate efficiently in wireless networks?
VALUETOOLS
Panayotis Mertikopoulos, Aris L. Moustakas