The simplex game: can selfish users learn to operate efficiently in wireless networks? - Panayotis Mertikopoulos; Aris L. Moustakas (VALUETOOLS, 2007)

Vertical Handover between Wireless Standards. - Nikos Dimitriou; Panayotis Mertikopoulos; Aris L. Moustakas (ICC, 2008)

Vertical handover between wireless service providers. - Panayotis Mertikopoulos; Aris L. Moustakas; Nikos Dimitriou (WiOpt, 2008)

Correlated Anarchy in Overlapping Wireless Networks. - Panayotis Mertikopoulos; Aris L. Moustakas (IEEE J. Sel. Areas Commun., 2008)

Learning in the presence of noise. - Panayotis Mertikopoulos; Aris L. Moustakas (GAMENETS, 2009)

Distribution of MIMO mutual information: A large deviations approach. - Pavlos Kazakopoulos; Panayotis Mertikopoulos; Aris L. Moustakas; Giuseppe Caire (ITW, 2009)

Rational Behaviour in the Presence of Stochastic Perturbations - Panayotis Mertikopoulos; Aris L. Moustakas (CoRR, 2009)

Balancing traffic in networks: redundancy, learning, and the effect of stochastic fluctuations. - Panayotis Mertikopoulos; Aris L. Moustakas (BQGT, 2010)

Dynamic power allocation games in parallel multiple access channels. - Panayotis Mertikopoulos; Elena Veronica Belmega; Aris L. Moustakas; Samson Lasaulce (VALUETOOLS, 2011)

Selfish routing revisited: degeneracy, evolution and stochastic fluctuations. - Panayotis Mertikopoulos; Aris L. Moustakas (VALUETOOLS, 2011)

Distributed Learning Policies for Power Allocation in Multiple Access Channels - Panayotis Mertikopoulos; Elena Veronica Belmega; Aris L. Moustakas; Samson Lasaulce (CoRR, 2011)

Living at the Edge: A Large Deviations Approach to the Outage MIMO Capacity. - Pavlos Kazakopoulos; Panayotis Mertikopoulos; Aris L. Moustakas; Giuseppe Caire (IEEE Trans. Inf. Theory, 2011)

Matrix exponential learning: Distributed optimization in MIMO systems. - Panayotis Mertikopoulos; Elena Veronica Belmega; Aris L. Moustakas (ISIT, 2012)

Strange bedfellows: Riemann, gibbs and vector Gaussian multiple access channels. - Panayotis Mertikopoulos (NetGCooP, 2012)

Distributed Learning Policies forPower Allocation in Multiple Access Channels. - Panayotis Mertikopoulos; Elena Veronica Belmega; Aris L. Moustakas; Samson Lasaulce (IEEE J. Sel. Areas Commun., 2012)

Accelerating population-based search heuristics by adaptive resource allocation. - Joachim Lepping; Panayotis Mertikopoulos; Denis Trystram (GECCO, 2013)

Entropy-driven optimization dynamics for Gaussian vector multiple access channels. - Panayotis Mertikopoulos; Aris L. Moustakas (ICC Workshops, 2013)

Riemannian-geometric optimization methods for MIMO multiple access channels. - Panayotis Mertikopoulos; Aris L. Moustakas (ISIT, 2013)

Adaptive spectrum management in MIMO-OFDM cognitive radio: an exponential learning approach. - Panayotis Mertikopoulos; Elena Veronica Belmega (VALUETOOLS, 2013)

Entropy-driven dynamics and robust learning procedures in games - Pierre Coucheney; Bruno Gaujal; Panayotis Mertikopoulos (CoRR, 2013)

Higher order game dynamics. - Rida Laraki; Panayotis Mertikopoulos (J. Econ. Theory, 2013)

No regrets: Distributed power control under time-varying channels and QoS requirements. - Ioannis Stiakogiannakis; Panayotis Mertikopoulos; Corinne Touati (Allerton, 2014)

Distributed optimization in multi-user MIMO systems with imperfect and delayed information. - Pierre Coucheney; Bruno Gaujal; Panayotis Mertikopoulos (ISIT, 2014)

Energy-aware competitive link adaptation in small-cell networks. - Giacomo Bacci; Elena Veronica Belmega; Panayotis Mertikopoulos; Luca Sanguinetti (WiOpt, 2014)

Adaptive transmit policies for cost-efficient power allocation in multi-carrier systems. - Salvatore D'Oro; Panayotis Mertikopoulos; Aris L. Moustakas; Sergio Palazzo (WiOpt, 2014)

A continuous-time approach to online optimization. - Joon Kwon; Panayotis Mertikopoulos (CoRR, 2014)

Regularized Best Responses and Reinforcement Learning in Games. - Panayotis Mertikopoulos; William H. Sandholm (CoRR, 2014)

Game-theoretical control with continuous action sets. - Steven Perkins; Panayotis Mertikopoulos; David S. Leslie (CoRR, 2014)

Transmit without Regrets: Online Optimization in MIMO-OFDM Cognitive Radio Systems. - Panayotis Mertikopoulos; Elena Veronica Belmega (IEEE J. Sel. Areas Commun., 2014)

Energy-Efficient Power Allocation in Dynamic Multi-Carrier Systems. - Elena Veronica Belmega; Panayotis Mertikopoulos (VTC Spring, 2015)

No more tears: A no-regret approach to power control in dynamically varying MIMO networks. - Ioannis Stiakogiannakis; Panayotis Mertikopoulos; Corinne Touati (WiOpt, 2015)

Cost-Efficient Throughput Maximization in Multi-Carrier Cognitive Radio Systems. - Salvatore D'Oro; Panayotis Mertikopoulos; Aris L. Moustakas; Sergio Palazzo (CoRR, 2015)

A stochastic approximation algorithm for stochastic semidefinite programming. - Bruno Gaujal; Panayotis Mertikopoulos (CoRR, 2015)

In an Uncertain World: Distributed Optimization in MIMO Systems with Imperfect Information. - Panayotis Mertikopoulos; Aris L. Moustakas (CoRR, 2015)

Adaptive Power Allocation and Control in Time-Varying Multi-Carrier MIMO Networks. - Ioannis Stiakogiannakis; Panayotis Mertikopoulos; Corinne Touati (CoRR, 2015)

Penalty-Regulated Dynamics and Robust Learning Procedures in Games. - Pierre Coucheney; Bruno Gaujal; Panayotis Mertikopoulos (Math. Oper. Res., 2015)

Inertial Game Dynamics and Applications to Constrained Optimization. - Rida Laraki; Panayotis Mertikopoulos (SIAM J. Control. Optim., 2015)

Energy-Aware Competitive Power Allocation for Heterogeneous Networks Under QoS Constraints. - Giacomo Bacci; Elena Veronica Belmega; Panayotis Mertikopoulos; Luca Sanguinetti (IEEE Trans. Wirel. Commun., 2015)

Interference-Based Pricing for Opportunistic Multicarrier Cognitive Radio Systems. - Salvatore D'Oro; Panayotis Mertikopoulos; Aris L. Moustakas; Sergio Palazzo (IEEE Trans. Wirel. Commun., 2015)

Distributed learning for resource allocation under uncertainty. - Panayotis Mertikopoulos; Elena Veronica Belmega; Luca Sanguinetti (GlobalSIP, 2016)

Online Interference Mitigation via Learning in Dynamic IoT Environments. - Alexandre Marcastel; Elena Veronica Belmega; Panayotis Mertikopoulos; Inbar Fijalkow (GLOBECOM Workshops, 2016)

A novel dynamic network architecture model based on stochastic geometry and game theory. - Alireza Shams Shafigh; Panayotis Mertikopoulos; Savo Glisic (ICC, 2016)

Online Power Allocation for Opportunistic Radio Access in Dynamic OFDM Networks. - Alexandre Marcastel; Elena Veronica Belmega; Panayotis Mertikopoulos; Inbar Fijalkow (VTC Fall, 2016)

Exponentially fast convergence to (strict) equilibrium via hedging. - Johanne Cohen; Amélie Héliou; Panayotis Mertikopoulos (CoRR, 2016)

Learning in concave games with imperfect information. - Panayotis Mertikopoulos (CoRR, 2016)

Boltzmann meets Nash: Energy-efficient routing in optical networks under uncertainty. - Panayotis Mertikopoulos; Aris L. Moustakas; Anna Tzanakaki (CoRR, 2016)

Imitation dynamics with payoff shocks. - Panayotis Mertikopoulos; Yannick Viossat (Int. J. Game Theory, 2016)

Learning to Be Green: Robust Energy Efficiency Maximization in Dynamic MIMO-OFDM Systems. - Panayotis Mertikopoulos; Elena Veronica Belmega (IEEE J. Sel. Areas Commun., 2016)

Learning in Games via Reinforcement and Regularization. - Panayotis Mertikopoulos; William H. Sandholm (Math. Oper. Res., 2016)

Power Optimization in Random Wireless Networks. - Aris L. Moustakas; Panayotis Mertikopoulos; Nicholas Bambos (IEEE Trans. Inf. Theory, 2016)

Learning in an Uncertain World: MIMO Covariance Matrix Optimization With Imperfect Feedback. - Panayotis Mertikopoulos; Aris L. Moustakas (IEEE Trans. Signal Process., 2016)

Convergence to nash equilibrium in continuous games with noisy first-order feedback. - Panayotis Mertikopoulos; Mathias Staudigl (CDC, 2017)

Mirror descent learning in continuous games. - Zhengyuan Zhou; Panayotis Mertikopoulos; Aris L. Moustakas; Nicholas Bambos; Peter W. Glynn (CDC, 2017)

Stable Power Control in Wireless Networks via Dual Averaging. - Zhengyuan Zhou; Panayotis Mertikopoulos; Aris L. Moustakas; Saied Mehdian; Nicholas Bambos; Peter W. Glynn (GLOBECOM, 2017)

Learning with Bandit Feedback in Potential Games. - Amélie Héliou; Johanne Cohen; Panayotis Mertikopoulos (NIPS, 2017)

Stochastic Mirror Descent in Variationally Coherent Optimization Problems. - Zhengyuan Zhou; Panayotis Mertikopoulos; Nicholas Bambos; Stephen P. Boyd; Peter W. Glynn (NIPS, 2017)

Countering Feedback Delays in Multi-Agent Learning. - Zhengyuan Zhou; Panayotis Mertikopoulos; Nicholas Bambos; Peter W. Glynn; Claire J. Tomlin (NIPS, 2017)

Least action routing: Identifying the optimal path in a wireless relay network. - Aris L. Moustakas; Panayotis Mertikopoulos; Zhengyuan Zhou; Nick Bambos (PIMRC, 2017)

Hedging Under Uncertainty: Regret Minimization Meets Exponentially Fast Convergence. - Johanne Cohen; Amélie Héliou; Panayotis Mertikopoulos (SAGT, 2017)

The Asymptotic Behavior of the Price of Anarchy. - Riccardo Colini-Baldeschi; Roberto Cominetti; Panayotis Mertikopoulos; Marco Scarsini (WINE, 2017)

Auction-based resource allocation in OpenFlow multi-tenant networks. - Salvatore D'Oro; Laura Galluccio; Panayotis Mertikopoulos; Giacomo Morabito; Sergio Palazzo (Comput. Networks, 2017)

On the asymptotic behavior of the price of anarchy: Is selfish routing bad in highly congested networks? - Riccardo Colini-Baldeschi; Roberto Cominetti; Panayotis Mertikopoulos; Marco Scarsini (CoRR, 2017)

Mirror descent in non-convex stochastic programming. - Zhengyuan Zhou; Panayotis Mertikopoulos; Nicholas Bambos; Stephen P. Boyd; Peter W. Glynn (CoRR, 2017)

On the robustness of learning in games with stochastically perturbed payoff observations. - Mario Bravo; Panayotis Mertikopoulos (Games Econ. Behav., 2017)

Mixed-Strategy Learning With Continuous Action Sets. - Steven Perkins; Panayotis Mertikopoulos; David S. Leslie (IEEE Trans. Autom. Control., 2017)

Semi-Cognitive Radio Networks: A Novel Dynamic Spectrum Sharing Mechanism. - Alireza Shams Shafigh; Panayotis Mertikopoulos; Savo Glisic; Yuguang Michael Fang (IEEE Trans. Cogn. Commun. Netw., 2017)

Distributed Stochastic Optimization via Matrix Exponential Learning. - Panayotis Mertikopoulos; Elena Veronica Belmega; Romain Negrel; Luca Sanguinetti (IEEE Trans. Signal Process., 2017)

Power Control with Random Delays: Robust Feedback Averaging. - Andrew Ward; Zhengyuan Zhou; Panayotis Mertikopoulos; Nicholas Bambos (CDC, 2018)

Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? - Zhengyuan Zhou; Panayotis Mertikopoulos; Nicholas Bambos; Peter W. Glynn; Yinyu Ye 001; Li-Jia Li 001; Li Fei-Fei 001 (ICML, 2018)

A Resource Allocation Framework for Network Slicing. - Mathieu Leconte; Georgios S. Paschos; Panayotis Mertikopoulos; Ulas C. Kozat (INFOCOM, 2018)

Bandit Learning in Concave N-Person Games. - Mario Bravo; David S. Leslie; Panayotis Mertikopoulos (NeurIPS, 2018)

Learning in Games with Lossy Feedback. - Zhengyuan Zhou; Panayotis Mertikopoulos; Susan Athey; Nicholas Bambos; Peter W. Glynn; Yinyu Ye 001 (NeurIPS, 2018)

Cycles in Adversarial Regularized Learning. - Panayotis Mertikopoulos; Christos H. Papadimitriou; Georgios Piliouras (SODA, 2018)

Online convex optimization and no-regret learning: Algorithms, guarantees and applications. - Elena Veronica Belmega; Panayotis Mertikopoulos; Romain Negrel; Luca Sanguinetti (CoRR, 2018)

Mirror descent in saddle-point problems: Going the extra (gradient) mile. - Panayotis Mertikopoulos; Houssam Zenati; Bruno Lecouat; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Georgios Piliouras (CoRR, 2018)

Learning in time-varying games. - Benoit Duvocelle; Panayotis Mertikopoulos; Mathias Staudigl; Dries Vermeulen (CoRR, 2018)

Riemannian game dynamics. - Panayotis Mertikopoulos; William H. Sandholm (J. Econ. Theory, 2018)

Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities. - Panayotis Mertikopoulos; Mathias Staudigl (J. Optim. Theory Appl., 2018)

On the Convergence of Gradient-Like Flows with Noisy Gradient Input. - Panayotis Mertikopoulos; Mathias Staudigl (SIAM J. Optim., 2018)

Demo: Fog Based Framework for IoT Service Orchestration. - Bruno Donassolo; Ilhem Fajjari; Arnaud Legrand; Panayotis Mertikopoulos (CCNC, 2019)

Fog Based Framework for IoT Service Provisioning. - Bruno Donassolo; Ilhem Fajjari; Arnaud Legrand; Panayotis Mertikopoulos (CCNC, 2019)

Load Aware Provisioning of IoT Services on Fog Computing Platform. - Bruno Donassolo; Ilhem Fajjari; Arnaud Legrand; Panayotis Mertikopoulos (ICC, 2019)

Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile. - Panayotis Mertikopoulos; Bruno Lecouat; Houssam Zenati; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Georgios Piliouras (ICLR (Poster), 2019)

Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints. - Nikolaos Liakopoulos; Apostolos Destounis; Georgios S. Paschos; Thrasyvoulos Spyropoulos; Panayotis Mertikopoulos (ICML, 2019)

Large-Scale Network Utility Maximization: Countering Exponential Growth with Exponentiated Gradients. - Luigi Vigneri; Georgios S. Paschos; Panayotis Mertikopoulos (INFOCOM, 2019)

An adaptive Mirror-Prox method for variational inequalities with singular operators. - Kimon Antonakopoulos; Elena Veronica Belmega; Panayotis Mertikopoulos (NeurIPS, 2019)

On the convergence of single-call stochastic extra-gradient methods. - Yu-Guan Hsieh; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (NeurIPS, 2019)

Gradient-free Online Resource Allocation Algorithms for Dynamic Wireless Networks. - Alexandre Marcastel; Elena Veronica Belmega; Inbar Fijalkow; Panayotis Mertikopoulos (SPAWC, 2019)

Forward-backward-forward methods with variance reduction for stochastic variational inequalities. - Radu Ioan Bot; Panayotis Mertikopoulos; Mathias Staudigl; Phan Tu Vuong (CoRR, 2019)

Learning in games with continuous action sets and unknown payoff functions. - Panayotis Mertikopoulos; Zhengyuan Zhou (Math. Program., 2019)

Hessian Barrier Algorithms for Linearly Constrained Optimization Problems. - Immanuel M. Bomze; Panayotis Mertikopoulos; Werner Schachinger; Mathias Staudigl (SIAM J. Optim., 2019)

Online Power Optimization in Feedback-Limited, Dynamic and Unpredictable IoT Networks. - Alexandre Marcastel; Elena Veronica Belmega; Panayotis Mertikopoulos; Inbar Fijalkow (IEEE Trans. Signal Process., 2019)

Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach. - Kimon Antonakopoulos; Elena Veronica Belmega; Panayotis Mertikopoulos (ICLR, 2020)

A new regret analysis for Adam-type algorithms. - Ahmet Alacaoglu; Yura Malitsky; Panayotis Mertikopoulos; Volkan Cevher (ICML, 2020)

Gradient-free Online Learning in Continuous Games with Delayed Rewards. - Amélie Héliou; Panayotis Mertikopoulos; Zhengyuan Zhou (ICML, 2020)

Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games. - Tianyi Lin; Zhengyuan Zhou; Panayotis Mertikopoulos; Michael I. Jordan (ICML, 2020)

Derivative-Free Optimization over Multi-user MIMO Networks. - Olivier Bilenne; Panayotis Mertikopoulos; Elena Veronica Belmega (NetGCooP, 2020)

Online Non-Convex Optimization with Imperfect Feedback. - Amélie Héliou; Matthieu Martin; Panayotis Mertikopoulos; Thibaud Rahier (NeurIPS, 2020)

Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. - Yu-Guan Hsieh; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (NeurIPS, 2020)

On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. - Panayotis Mertikopoulos; Nadav Hallak; Ali Kavis; Volkan Cevher (NeurIPS, 2020)

No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix. - Emmanouil V. Vlatakis-Gkaragkounis; Lampros Flokas; Thanasis Lianeas; Panayotis Mertikopoulos; Georgios Piliouras (NeurIPS, 2020)

Quick or Cheap? Breaking Points in Dynamic Markets. - Panayotis Mertikopoulos; Heinrich H. Nax; Bary S. R. Pradelski (EC, 2020)

Fast Gradient-Free Optimization in Distributed Multi-User MIMO Systems. - Olivier Bilenne; Panayotis Mertikopoulos; Elena Veronica Belmega (CoRR, 2020)

Gradient-free Online Learning in Games with Delayed Rewards. - Amélie Héliou; Panayotis Mertikopoulos; Zhengyuan Zhou (CoRR, 2020)

When Is Selfish Routing Bad? The Price of Anarchy in Light and Heavy Traffic. - Riccardo Colini-Baldeschi; Roberto Cominetti; Panayotis Mertikopoulos; Marco Scarsini (Oper. Res., 2020)

On the Convergence of Mirror Descent beyond Stochastic Convex Programming. - Zhengyuan Zhou; Panayotis Mertikopoulos; Nicholas Bambos; Stephen P. Boyd; Peter W. Glynn (SIAM J. Optim., 2020)

Fast Optimization With Zeroth-Order Feedback in Distributed, Multi-User MIMO Systems. - Olivier Bilenne; Panayotis Mertikopoulos; Elena Veronica Belmega (IEEE Trans. Signal Process., 2020)

Optimization in Open Networks via Dual Averaging. - Yu-Guan Hsieh; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (CDC, 2021)

Equilibrium Tracking and Convergence in Dynamic Games. - Panayotis Mertikopoulos; Mathias Staudigl (CDC, 2021)

The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. - Waïss Azizian; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (COLT, 2021)

Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information. - Angeliki Giannou; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Panayotis Mertikopoulos (COLT, 2021)

Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium. - Yu-Guan Hsieh; Kimon Antonakopoulos; Panayotis Mertikopoulos (COLT, 2021)

Adaptive Extra-Gradient Methods for Min-Max Optimization and Games. - Kimon Antonakopoulos; Elena Veronica Belmega; Panayotis Mertikopoulos (ICLR, 2021)

Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach. - Nadav Hallak; Panayotis Mertikopoulos; Volkan Cevher (ICML, 2021)

Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging. - Amélie Héliou; Matthieu Martin; Panayotis Mertikopoulos; Thibaud Rahier (ICML, 2021)

The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets. - Ya-Ping Hsieh; Panayotis Mertikopoulos; Volkan Cevher (ICML, 2021)

Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements. - Kimon Antonakopoulos; Panayotis Mertikopoulos (NeurIPS, 2021)

Sifting through the noise: Universal first-order methods for stochastic variational inequalities. - Kimon Antonakopoulos; Thomas Pethick; Ali Kavis; Panayotis Mertikopoulos; Volkan Cevher (NeurIPS, 2021)

The convergence rate of regularized learning in games: From bandits and uncertainty to optimism and beyond. - Angeliki Giannou; Emmanouil V. Vlatakis-Gkaragkounis; Panayotis Mertikopoulos (NeurIPS, 2021)

Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights. - Dong Quan Vu; Kimon Antonakopoulos; Panayotis Mertikopoulos (NeurIPS, 2021)

From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable. - Angeliki Giannou; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Panayotis Mertikopoulos (CoRR, 2021)

Learning in nonatomic games, Part I: Finite action spaces and population games. - Saeed Hadikhanloo; Rida Laraki; Panayotis Mertikopoulos; Sylvain Sorin (CoRR, 2021)

Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements. - Kimon Antonakopoulos; Panayotis Mertikopoulos (CoRR, 2021)

A heuristic for estimating Nash equilibria in first-price auctions with correlated values. - Benjamin Heymann; Panayotis Mertikopoulos (CoRR, 2021)

Robust Power Management via Learning and Game Design. - Zhengyuan Zhou; Panayotis Mertikopoulos; Aris L. Moustakas; Nicholas Bambos; Peter W. Glynn (Oper. Res., 2021)

Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources. - Benjamin Roussillon; Nicolas Gast; Patrick Loiseau; Panayotis Mertikopoulos (ALT, 2022)

Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization. - Marina Costantini; Nikolaos Liakopoulos; Panayotis Mertikopoulos; Thrasyvoulos Spyropoulos (CDC, 2022)

Learning in Games with Quantized Payoff Observations. - Kyriakos Lotidis; Panayotis Mertikopoulos; Nicholas Bambos (CDC, 2022)

The Dynamics of Riemannian Robbins-Monro Algorithms. - Mohammad Reza Karimi; Ya-Ping Hsieh; Panayotis Mertikopoulos; Andreas Krause 001 (COLT, 2022)

AdaGrad Avoids Saddle Points. - Kimon Antonakopoulos; Panayotis Mertikopoulos; Georgios Piliouras; Xiao Wang 036 (ICML, 2022)

UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees. - Kimon Antonakopoulos; Dong Quan Vu; Volkan Cevher; Kfir Y. Levy; Panayotis Mertikopoulos (ICML, 2022)

Nested Bandits. - Matthieu Martin; Panayotis Mertikopoulos; Thibaud Rahier; Houssam Zenati (ICML, 2022)

On the convergence of policy gradient methods to Nash equilibria in general stochastic games. - Angeliki Giannou; Kyriakos Lotidis; Panayotis Mertikopoulos; Emmanouil V. Vlatakis-Gkaragkounis (NeurIPS, 2022)

No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation. - Yu-Guan Hsieh; Kimon Antonakopoulos; Volkan Cevher; Panayotis Mertikopoulos (NeurIPS, 2022)

Online convex optimization in wireless networks and beyond: The feedback-performance trade-off. - Elena Veronica Belmega; Panayotis Mertikopoulos; Romain Negrel (WiOpt, 2022)

Routing in an Uncertain World: Adaptivity, Efficiency, and Equilibrium. - Dong Quan Vu; Kimon Antonakopoulos; Panayotis Mertikopoulos (CoRR, 2022)

Learning in games from a stochastic approximation viewpoint. - Panayotis Mertikopoulos; Ya-Ping Hsieh; Volkan Cevher (CoRR, 2022)

Survival of dominated strategies under imitation dynamics. - Panayotis Mertikopoulos; Yannick Viossat (CoRR, 2022)

Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee. - Tianyi Lin; Panayotis Mertikopoulos; Michael I. Jordan (CoRR, 2022)

On the rate of convergence of Bregman proximal methods in constrained variational inequalities. - Waïss Azizian; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (CoRR, 2022)

Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. - Yu-Guan Hsieh; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (J. Mach. Learn. Res., 2022)

Distributed Stochastic Optimization with Large Delays. - Zhengyuan Zhou; Panayotis Mertikopoulos; Nicholas Bambos; Peter W. Glynn; Yinyu Ye 001 (Math. Oper. Res., 2022)

Online Reconfiguration of IoT Applications in the Fog: The Information-Coordination Trade-Off. - Bruno Donassolo; Arnaud Legrand; Panayotis Mertikopoulos; Ilhem Fajjari (IEEE Trans. Parallel Distributed Syst., 2022)

The Stability of Matrix Multiplicative Weights Dynamics in Quantum Games. - Kyriakos Lotidis; Panayotis Mertikopoulos; Nicholas Bambos (CDC, 2023)

The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games. - Victor Boone; Panayotis Mertikopoulos (NeurIPS, 2023)

Riemannian stochastic optimization methods avoid strict saddle points. - Ya-Ping Hsieh; Mohammad Reza Karimi Jaghargh; Andreas Krause 001; Panayotis Mertikopoulos (NeurIPS, 2023)

Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games. - Kyriakos Lotidis; Panayotis Mertikopoulos; Nicholas Bambos; Jose H. Blanchet (NeurIPS, 2023)

Exploiting hidden structures in non-convex games for convergence to Nash equilibrium. - Iosif Sakos; Emmanouil V. Vlatakis-Gkaragkounis; Panayotis Mertikopoulos; Georgios Piliouras (NeurIPS, 2023)

Learning in quantum games. - Kyriakos Lotidis; Panayotis Mertikopoulos; Nicholas Bambos (CoRR, 2023)

Optimization Challenges in Data Science - Special Issue Editorial. - Coralia Cartis; Panayotis Mertikopoulos (EURO J. Comput. Optim., 2023)

Multiagent Online Learning in Time-Varying Games. - Benoit Duvocelle; Panayotis Mertikopoulos; Mathias Staudigl; Dries Vermeulen (Math. Oper. Res., 2023)

What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis. - Waïss Azizian; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (ICML, 2024)

The Computational Complexity of Finding Second-Order Stationary Points. - Andreas Kontogiannis; Vasilis Pollatos; Sotiris Kanellopoulos; Panayotis Mertikopoulos; Aris Pagourtzis; Ioannis Panageas (ICML, 2024)

A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights. - Davide Legacci; Panayotis Mertikopoulos; Bary S. R. Pradelski (ICML, 2024)

No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests. - Davide Legacci; Panayotis Mertikopoulos; Christos H. Papadimitriou; Georgios Piliouras; Bary S. R. Pradelski (NeurIPS, 2024)

Accelerated Regularized Learning in Finite N-Person Games. - Kyriakos Lotidis; Angeliki Giannou; Panayotis Mertikopoulos; Nicholas Bambos (NeurIPS, 2024)

Nested replicator dynamics, nested logit choice, and similarity-based learning. - Panayotis Mertikopoulos; William H. Sandholm (J. Econ. Theory, 2024)

The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness. - Waïss Azizian; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (SIAM J. Optim., 2024)

A unified stochastic approximation framework for learning in games. - Panayotis Mertikopoulos; Ya-Ping Hsieh; Volkan Cevher (Math. Program., 2024)

Tamed Langevin sampling under weaker conditions. - Iosif Lytras; Panayotis Mertikopoulos (AISTATS, 2025)

A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games. - Francisca Vasconcelos; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Panayotis Mertikopoulos; Georgios Piliouras; Michael I. Jordan (Quantum, 2025)

Characterizing the Convergence of Game Dynamics via Potentialness. - Martin Bichler; Davide Legacci; Panayotis Mertikopoulos; Matthias Oberlechner; Bary S. R. Pradelski (Trans. Mach. Learn. Res., 2025)

The global convergence time of stochastic gradient descent in non-convex landscapes: Sharp estimates via large deviations. - Waïss Azizian; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (CoRR, 2025)

The impact of uncertainty on regularized learning in games. - Pierre-Louis Cauvin; Davide Legacci; Panayotis Mertikopoulos (CoRR, 2025)

On the discrete-time origins of the replicator dynamics: from convergence to instability and chaos. - Fryderyk Falniowski; Panayotis Mertikopoulos (Int. J. Game Theory, 2025)

Setwise Coordinate Descent for Dual Asynchronous Decentralized Optimization. - Marina Costantini; Nikolaos Liakopoulos; Panayotis Mertikopoulos; Thrasyvoulos Spyropoulos (IEEE Trans. Autom. Control., 2025)