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ORCIDPanayotis Mertikopoulos
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- affiliation: Université Grenoble Alpes, Grenoble INP, LIG, France
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Journal Articles
- 2024
[j35]Panayotis Mertikopoulos
, Ya-Ping Hsieh, Volkan Cevher:
A unified stochastic approximation framework for learning in games. Math. Program. 203(1): 559-609 (2024)- 2023
- [j34]Coralia Cartis, Panayotis Mertikopoulos:
Optimization Challenges in Data Science - Special Issue Editorial. EURO J. Comput. Optim. 11: 100064 (2023) - [j33]Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen:
Multiagent Online Learning in Time-Varying Games. Math. Oper. Res. 48(2): 914-941 (2023) - 2022
- [j32]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. J. Mach. Learn. Res. 23: 78:1-78:49 (2022) - [j31]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye:
Distributed Stochastic Optimization with Large Delays. Math. Oper. Res. 47(3): 2082-2111 (2022) - [j30]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): 1156-1172 (2022) - 2021
- [j29]Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Nicholas Bambos, Peter W. Glynn:
Robust Power Management via Learning and Game Design. Oper. Res. 69(1): 331-345 (2021) - 2020
- [j28]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): 411-434 (2020) - [j27]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): 687-716 (2020) - [j26]Olivier Bilenne, Panayotis Mertikopoulos, Elena Veronica Belmega:
Fast Optimization With Zeroth-Order Feedback in Distributed, Multi-User MIMO Systems. IEEE Trans. Signal Process. 68: 6085-6100 (2020) - 2019
- [j25]Panayotis Mertikopoulos, Zhengyuan Zhou:
Learning in games with continuous action sets and unknown payoff functions. Math. Program. 173(1-2): 465-507 (2019) - [j24]Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl:
Hessian Barrier Algorithms for Linearly Constrained Optimization Problems. SIAM J. Optim. 29(3): 2100-2127 (2019) - [j23]Alexandre Marcastel, Elena Veronica Belmega, Panayotis Mertikopoulos, Inbar Fijalkow:
Online Power Optimization in Feedback-Limited, Dynamic and Unpredictable IoT Networks. IEEE Trans. Signal Process. 67(11): 2987-3000 (2019) - 2018
- [j22]Panayotis Mertikopoulos, William H. Sandholm:
Riemannian game dynamics. J. Econ. Theory 177: 315-364 (2018) - [j21]Panayotis Mertikopoulos, Mathias Staudigl:
Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities. J. Optim. Theory Appl. 179(3): 838-867 (2018) - [j20]Panayotis Mertikopoulos, Mathias Staudigl:
On the Convergence of Gradient-Like Flows with Noisy Gradient Input. SIAM J. Optim. 28(1): 163-197 (2018) - 2017
- [j19]Salvatore D'Oro, Laura Galluccio, Panayotis Mertikopoulos, Giacomo Morabito, Sergio Palazzo:
Auction-based resource allocation in OpenFlow multi-tenant networks. Comput. Networks 115: 29-41 (2017) - [j18]Mario Bravo, Panayotis Mertikopoulos:
On the robustness of learning in games with stochastically perturbed payoff observations. Games Econ. Behav. 103: 41-66 (2017) - [j17]Steven Perkins, Panayotis Mertikopoulos, David S. Leslie:
Mixed-Strategy Learning With Continuous Action Sets. IEEE Trans. Autom. Control. 62(1): 379-384 (2017) - [j16]Alireza Shams Shafigh, Panayotis Mertikopoulos, Savo Glisic, Yuguang Michael Fang:
Semi-Cognitive Radio Networks: A Novel Dynamic Spectrum Sharing Mechanism. IEEE Trans. Cogn. Commun. Netw. 3(1): 97-111 (2017) - [j15]Panayotis Mertikopoulos, Elena Veronica Belmega, Romain Negrel, Luca Sanguinetti:
Distributed Stochastic Optimization via Matrix Exponential Learning. IEEE Trans. Signal Process. 65(9): 2277-2290 (2017) - 2016
- [j14]Panayotis Mertikopoulos, Yannick Viossat:
Imitation dynamics with payoff shocks. Int. J. Game Theory 45(1-2): 291-320 (2016) - [j13]Panayotis Mertikopoulos, Elena Veronica Belmega:
Learning to Be Green: Robust Energy Efficiency Maximization in Dynamic MIMO-OFDM Systems. IEEE J. Sel. Areas Commun. 34(4): 743-757 (2016) - [j12]Panayotis Mertikopoulos, William H. Sandholm:
Learning in Games via Reinforcement and Regularization. Math. Oper. Res. 41(4): 1297-1324 (2016) - [j11]Aris L. Moustakas, Panayotis Mertikopoulos, Nicholas Bambos:
Power Optimization in Random Wireless Networks. IEEE Trans. Inf. Theory 62(9): 5030-5058 (2016) - [j10]Panayotis Mertikopoulos, Aris L. Moustakas:
Learning in an Uncertain World: MIMO Covariance Matrix Optimization With Imperfect Feedback. IEEE Trans. Signal Process. 64(1): 5-18 (2016) - 2015
- [j9]Pierre Coucheney, Bruno Gaujal, Panayotis Mertikopoulos:
Penalty-Regulated Dynamics and Robust Learning Procedures in Games. Math. Oper. Res. 40(3): 611-633 (2015) - [j8]Rida Laraki, Panayotis Mertikopoulos:
Inertial Game Dynamics and Applications to Constrained Optimization. SIAM J. Control. Optim. 53(5): 3141-3170 (2015) - [j7]Giacomo Bacci, Elena Veronica Belmega, Panayotis Mertikopoulos, Luca Sanguinetti:
Energy-Aware Competitive Power Allocation for Heterogeneous Networks Under QoS Constraints. IEEE Trans. Wirel. Commun. 14(9): 4728-4742 (2015) - [j6]Salvatore D'Oro, Panayotis Mertikopoulos, Aris L. Moustakas, Sergio Palazzo:
Interference-Based Pricing for Opportunistic Multicarrier Cognitive Radio Systems. IEEE Trans. Wirel. Commun. 14(12): 6536-6549 (2015) - 2014
- [j5]Panayotis Mertikopoulos, Elena Veronica Belmega:
Transmit without Regrets: Online Optimization in MIMO-OFDM Cognitive Radio Systems. IEEE J. Sel. Areas Commun. 32(11): 1987-1999 (2014) - 2013
- [j4]Rida Laraki, Panayotis Mertikopoulos:
Higher order game dynamics. J. Econ. Theory 148(6): 2666-2695 (2013) - 2012
- [j3]Panayotis Mertikopoulos, Elena Veronica Belmega, Aris L. Moustakas, Samson Lasaulce:
Distributed Learning Policies forPower Allocation in Multiple Access Channels. IEEE J. Sel. Areas Commun. 30(1): 96-106 (2012) - 2011
- [j2]Pavlos Kazakopoulos, Panayotis Mertikopoulos, Aris L. Moustakas, Giuseppe Caire:
Living at the Edge: A Large Deviations Approach to the Outage MIMO Capacity. IEEE Trans. Inf. Theory 57(4): 1984-2007 (2011) - 2008
- [j1]Panayotis Mertikopoulos, Aris L. Moustakas:
Correlated Anarchy in Overlapping Wireless Networks. IEEE J. Sel. Areas Commun. 26(7): 1160-1169 (2008)
Conference and Workshop Papers
- 2023
- [c86]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos:
The Stability of Matrix Multiplicative Weights Dynamics in Quantum Games. CDC 2023: 1225-1232 - [c85]Victor Boone, Panayotis Mertikopoulos:
The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games. NeurIPS 2023 - [c84]Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause, Panayotis Mertikopoulos:
Riemannian stochastic optimization methods avoid strict saddle points. NeurIPS 2023 - [c83]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet:
Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games. NeurIPS 2023 - [c82]Iosif Sakos, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras:
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium. NeurIPS 2023 - 2022
- [c81]Benjamin Roussillon, Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos:
Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources. ALT 2022: 931-967 - [c80]Marina Costantini, Nikolaos Liakopoulos, Panayotis Mertikopoulos, Thrasyvoulos Spyropoulos:
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization. CDC 2022: 1602-1609 - [c79]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos:
Learning in Games with Quantized Payoff Observations. CDC 2022: 3129-3136 - [c78]Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause:
The Dynamics of Riemannian Robbins-Monro Algorithms. COLT 2022: 3503 - [c77]Kimon Antonakopoulos, Panayotis Mertikopoulos, Georgios Piliouras, Xiao Wang:
AdaGrad Avoids Saddle Points. ICML 2022: 731-771 - [c76]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: 772-795 - [c75]Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati:
Nested Bandits. ICML 2022: 15093-15121 - [c74]Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil V. Vlatakis-Gkaragkounis:
On the convergence of policy gradient methods to Nash equilibria in general stochastic games. NeurIPS 2022 - [c73]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 - [c72]Elena Veronica Belmega, Panayotis Mertikopoulos, Romain Negrel:
Online convex optimization in wireless networks and beyond: The feedback-performance trade-off. WiOpt 2022: 298-305 - 2021
- [c71]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Optimization in Open Networks via Dual Averaging. CDC 2021: 514-520 - [c70]Panayotis Mertikopoulos, Mathias Staudigl:
Equilibrium Tracking and Convergence in Dynamic Games. CDC 2021: 930-935 - [c69]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. COLT 2021: 326-358 - [c68]Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information. COLT 2021: 2147-2148 - [c67]Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos:
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium. COLT 2021: 2388-2422 - [c66]Kimon Antonakopoulos, Elena Veronica Belmega, Panayotis Mertikopoulos:
Adaptive Extra-Gradient Methods for Min-Max Optimization and Games. ICLR 2021 - [c65]Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher:
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach. ICML 2021: 4008-4017 - [c64]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging. ICML 2021: 4192-4202 - [c63]Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher:
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets. ICML 2021: 4337-4348 - [c62]Kimon Antonakopoulos, Thomas Pethick, Ali Kavis, Panayotis Mertikopoulos, Volkan Cevher:
Sifting through the noise: Universal first-order methods for stochastic variational inequalities. NeurIPS 2021: 13099-13111 - [c61]Dong Quan Vu, Kimon Antonakopoulos, Panayotis Mertikopoulos:
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights. NeurIPS 2021: 14708-14720 - [c60]Kimon Antonakopoulos, Panayotis Mertikopoulos:
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements. NeurIPS 2021: 19056-19068 - [c59]Angeliki Giannou, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
The convergence rate of regularized learning in games: From bandits and uncertainty to optimism and beyond. NeurIPS 2021: 22655-22666 - 2020
- [c58]Kimon Antonakopoulos, Elena Veronica Belmega, Panayotis Mertikopoulos:
Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach. ICLR 2020 - [c57]Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher:
A new regret analysis for Adam-type algorithms. ICML 2020: 202-210 - [c56]Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou:
Gradient-free Online Learning in Continuous Games with Delayed Rewards. ICML 2020: 4172-4181 - [c55]Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos, Michael I. Jordan:
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games. ICML 2020: 6161-6171 - [c54]Olivier Bilenne, Panayotis Mertikopoulos, Elena Veronica Belmega:
Derivative-Free Optimization over Multi-user MIMO Networks. NetGCooP 2020: 17-24 - [c53]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Online Non-Convex Optimization with Imperfect Feedback. NeurIPS 2020 - [c52]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. NeurIPS 2020 - [c51]Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher:
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. NeurIPS 2020 - [c50]Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras:
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix. NeurIPS 2020 - [c49]Panayotis Mertikopoulos, Heinrich H. Nax, Bary S. R. Pradelski:
Quick or Cheap? Breaking Points in Dynamic Markets. EC 2020: 877-878 - 2019
- [c48]Bruno Donassolo, Ilhem Fajjari, Arnaud Legrand, Panayotis Mertikopoulos:
Demo: Fog Based Framework for IoT Service Orchestration. CCNC 2019: 1-2 - [c47]Bruno Donassolo, Ilhem Fajjari, Arnaud Legrand, Panayotis Mertikopoulos:
Fog Based Framework for IoT Service Provisioning. CCNC 2019: 1-6 - [c46]Bruno Donassolo, Ilhem Fajjari, Arnaud Legrand, Panayotis Mertikopoulos:
Load Aware Provisioning of IoT Services on Fog Computing Platform. ICC 2019: 1-7 - [c45]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 - [c44]Nikolaos Liakopoulos, Apostolos Destounis, Georgios S. Paschos, Thrasyvoulos Spyropoulos, Panayotis Mertikopoulos:
Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints. ICML 2019: 3944-3952 - [c43]Luigi Vigneri, Georgios S. Paschos, Panayotis Mertikopoulos:
Large-Scale Network Utility Maximization: Countering Exponential Growth with Exponentiated Gradients. INFOCOM 2019: 1630-1638 - [c42]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
On the convergence of single-call stochastic extra-gradient methods. NeurIPS 2019: 6936-6946 - [c41]Kimon Antonakopoulos, Elena Veronica Belmega, Panayotis Mertikopoulos:
An adaptive Mirror-Prox method for variational inequalities with singular operators. NeurIPS 2019: 8453-8463 - [c40]Alexandre Marcastel, Elena Veronica Belmega, Inbar Fijalkow, Panayotis Mertikopoulos:
Gradient-free Online Resource Allocation Algorithms for Dynamic Wireless Networks. SPAWC 2019: 1-5 - 2018
- [c39]Andrew Ward, Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos:
Power Control with Random Delays: Robust Feedback Averaging. CDC 2018: 7040-7045 - [c38]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei:
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? ICML 2018: 5965-5974 - [c37]Mathieu Leconte, Georgios S. Paschos, Panayotis Mertikopoulos, Ulas C. Kozat:
A Resource Allocation Framework for Network Slicing. INFOCOM 2018: 2177-2185 - [c36]Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye:
Learning in Games with Lossy Feedback. NeurIPS 2018: 5140-5150 - [c35]Mario Bravo, David S. Leslie, Panayotis Mertikopoulos:
Bandit Learning in Concave N-Person Games. NeurIPS 2018: 5666-5676 - [c34]Panayotis Mertikopoulos, Christos H. Papadimitriou, Georgios Piliouras:
Cycles in Adversarial Regularized Learning. SODA 2018: 2703-2717 - 2017
- [c33]Panayotis Mertikopoulos, Mathias Staudigl:
Convergence to nash equilibrium in continuous games with noisy first-order feedback. CDC 2017: 5609-5614 - [c32]Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Nicholas Bambos, Peter W. Glynn:
Mirror descent learning in continuous games. CDC 2017: 5776-5783 - [c31]Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Saied Mehdian, Nicholas Bambos, Peter W. Glynn:
Stable Power Control in Wireless Networks via Dual Averaging. GLOBECOM 2017: 1-6 - [c30]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Claire J. Tomlin:
Countering Feedback Delays in Multi-Agent Learning. NIPS 2017: 6171-6181 - [c29]Amélie Héliou, Johanne Cohen, Panayotis Mertikopoulos:
Learning with Bandit Feedback in Potential Games. NIPS 2017: 6369-6378 - [c28]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn:
Stochastic Mirror Descent in Variationally Coherent Optimization Problems. NIPS 2017: 7040-7049 - [c27]Aris L. Moustakas, Panayotis Mertikopoulos, Zhengyuan Zhou, Nick Bambos:
Least action routing: Identifying the optimal path in a wireless relay network. PIMRC 2017: 1-5 - [c26]Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos:
Hedging Under Uncertainty: Regret Minimization Meets Exponentially Fast Convergence. SAGT 2017: 252-263 - [c25]Riccardo Colini-Baldeschi, Roberto Cominetti, Panayotis Mertikopoulos, Marco Scarsini:
The Asymptotic Behavior of the Price of Anarchy. WINE 2017: 133-145 - 2016
- [c24]Panayotis Mertikopoulos, Elena Veronica Belmega, Luca Sanguinetti:
Distributed learning for resource allocation under uncertainty. GlobalSIP 2016: 535-539 - [c23]Alexandre Marcastel, Elena Veronica Belmega, Panayotis Mertikopoulos, Inbar Fijalkow:
Online Interference Mitigation via Learning in Dynamic IoT Environments. GLOBECOM Workshops 2016: 1-5 - [c22]Alireza Shams Shafigh, Panayotis Mertikopoulos, Savo Glisic:
A novel dynamic network architecture model based on stochastic geometry and game theory. ICC 2016: 1-7 - [c21]Alexandre Marcastel, Elena Veronica Belmega, Panayotis Mertikopoulos, Inbar Fijalkow:
Online Power Allocation for Opportunistic Radio Access in Dynamic OFDM Networks. VTC Fall 2016: 1-5 - 2015
- [c20]Elena Veronica Belmega, Panayotis Mertikopoulos:
Energy-Efficient Power Allocation in Dynamic Multi-Carrier Systems. VTC Spring 2015: 1-5 - [c19]Ioannis Stiakogiannakis, Panayotis Mertikopoulos, Corinne Touati:
No more tears: A no-regret approach to power control in dynamically varying MIMO networks. WiOpt 2015: 467-474 - 2014
- [c18]Ioannis Stiakogiannakis, Panayotis Mertikopoulos, Corinne Touati:
No regrets: Distributed power control under time-varying channels and QoS requirements. Allerton 2014: 213-220 - [c17]Pierre Coucheney, Bruno Gaujal, Panayotis Mertikopoulos:
Distributed optimization in multi-user MIMO systems with imperfect and delayed information. ISIT 2014: 3097-3101 - [c16]Salvatore D'Oro, Panayotis Mertikopoulos, Aris L. Moustakas, Sergio Palazzo:
Adaptive transmit policies for cost-efficient power allocation in multi-carrier systems. WiOpt 2014: 1-7 - [c15]Giacomo Bacci, Elena Veronica Belmega, Panayotis Mertikopoulos, Luca Sanguinetti:
Energy-aware competitive link adaptation in small-cell networks. WiOpt 2014: 8-15 - 2013
- [c14]Joachim Lepping, Panayotis Mertikopoulos, Denis Trystram:
Accelerating population-based search heuristics by adaptive resource allocation. GECCO 2013: 1165-1172 - [c13]Panayotis Mertikopoulos, Aris L. Moustakas:
Entropy-driven optimization dynamics for Gaussian vector multiple access channels. ICC Workshops 2013: 1398-1402 - [c12]Panayotis Mertikopoulos, Aris L. Moustakas:
Riemannian-geometric optimization methods for MIMO multiple access channels. ISIT 2013: 216-220 - [c11]Panayotis Mertikopoulos, Elena Veronica Belmega:
Adaptive spectrum management in MIMO-OFDM cognitive radio: an exponential learning approach. VALUETOOLS 2013: 243-252 - 2012
- [c10]Panayotis Mertikopoulos, Elena Veronica Belmega, Aris L. Moustakas:
Matrix exponential learning: Distributed optimization in MIMO systems. ISIT 2012: 3028-3032 - [c9]Panayotis Mertikopoulos:
Strange bedfellows: Riemann, gibbs and vector Gaussian multiple access channels. NetGCooP 2012: 25-29 - 2011
- [c8]Panayotis Mertikopoulos, Aris L. Moustakas:
Selfish routing revisited: degeneracy, evolution and stochastic fluctuations. VALUETOOLS 2011: 217-226 - [c7]Panayotis Mertikopoulos, Elena Veronica Belmega, Aris L. Moustakas, Samson Lasaulce:
Dynamic power allocation games in parallel multiple access channels. VALUETOOLS 2011: 332-341 - 2010
- [c6]Panayotis Mertikopoulos, Aris L. Moustakas:
Balancing traffic in networks: redundancy, learning, and the effect of stochastic fluctuations. BQGT 2010: 2:1 - 2009
- [c5]Panayotis Mertikopoulos, Aris L. Moustakas:
Learning in the presence of noise. GAMENETS 2009: 308-313 - [c4]Pavlos Kazakopoulos, Panayotis Mertikopoulos, Aris L. Moustakas, Giuseppe Caire:
Distribution of MIMO mutual information: A large deviations approach. ITW 2009: 306-310 - 2008
- [c3]Nikos Dimitriou, Panayotis Mertikopoulos, Aris L. Moustakas:
Vertical Handover between Wireless Standards. ICC 2008: 3269-3273 - [c2]Panayotis Mertikopoulos, Aris L. Moustakas, Nikos Dimitriou:
Vertical handover between wireless service providers. WiOpt 2008: 509-514 - 2007
- [c1]Panayotis Mertikopoulos, Aris L. Moustakas:
The simplex game: can selfish users learn to operate efficiently in wireless networks? VALUETOOLS 2007: 7
Editorship
- 2021
- [e1]Samson Lasaulce, Panayotis Mertikopoulos, Ariel Orda:
Network Games, Control and Optimization - 10th International Conference, NetGCooP 2020, Cargèse, France, September 22-24, 2021, Proceedings. Communications in Computer and Information Science 1354, Springer 2021, ISBN 978-3-030-87472-8 [contents]
Informal and Other Publications
- 2024
- [i80]Fryderyk Falniowski, Panayotis Mertikopoulos:
On the discrete-time origins of the replicator dynamics: From convergence to instability and chaos. CoRR abs/2402.09824 (2024) - [i79]Davide Legacci, Panayotis Mertikopoulos, Bary S. R. Pradelski:
A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights. CoRR abs/2405.07224 (2024) - [i78]Iosif Lytras, Panayotis Mertikopoulos:
Tamed Langevin sampling under weaker conditions. CoRR abs/2405.17693 (2024) - 2023
- [i77]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos:
Learning in quantum games. CoRR abs/2302.02333 (2023) - [i76]Ya-Ping Hsieh, Mohammad Reza Karimi, Andreas Krause, Panayotis Mertikopoulos:
Riemannian stochastic optimization methods avoid strict saddle points. CoRR abs/2311.02374 (2023) - [i75]Victor Boone, Panayotis Mertikopoulos:
The equivalence of dynamic and strategic stability under regularized learning in games. CoRR abs/2311.02407 (2023) - [i74]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet:
Payoff-based learning with matrix multiplicative weights in quantum games. CoRR abs/2311.02423 (2023) - [i73]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 abs/2311.10859 (2023) - [i72]Iosif Sakos, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras:
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium. CoRR abs/2312.16609 (2023) - 2022
- [i71]Dong Quan Vu, Kimon Antonakopoulos, Panayotis Mertikopoulos:
Routing in an Uncertain World: Adaptivity, Efficiency, and Equilibrium. CoRR abs/2201.02985 (2022) - [i70]Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher:
Learning in games from a stochastic approximation viewpoint. CoRR abs/2206.03922 (2022) - [i69]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 abs/2206.06015 (2022) - [i68]Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause:
The Dynamics of Riemannian Robbins-Monro Algorithms. CoRR abs/2206.06795 (2022) - [i67]Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati:
Nested bandits. CoRR abs/2206.09348 (2022) - [i66]Marina Costantini, Nikolaos Liakopoulos, Panayotis Mertikopoulos, Thrasyvoulos Spyropoulos:
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization. CoRR abs/2207.07543 (2022) - [i65]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos:
Learning in Games with Quantized Payoff Observations. CoRR abs/2209.04926 (2022) - [i64]Panayotis Mertikopoulos, Yannick Viossat:
Survival of dominated strategies under imitation dynamics. CoRR abs/2209.08416 (2022) - [i63]Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil V. Vlatakis-Gkaragkounis:
On the convergence of policy gradient methods to Nash equilibria in general stochastic games. CoRR abs/2210.08857 (2022) - [i62]Tianyi Lin, Panayotis Mertikopoulos, Michael I. Jordan:
Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee. CoRR abs/2210.12860 (2022) - [i61]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
On the rate of convergence of Bregman proximal methods in constrained variational inequalities. CoRR abs/2211.08043 (2022) - 2021
- [i60]Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable. CoRR abs/2101.04667 (2021) - [i59]Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos:
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium. CoRR abs/2104.12761 (2021) - [i58]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Optimization in Open Networks via Dual Averaging. CoRR abs/2105.13348 (2021) - [i57]Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos, Benjamin Roussillon:
Asymptotic Degradation of Linear Regression Estimates With Strategic Data Sources. CoRR abs/2106.14636 (2021) - [i56]Saeed Hadikhanloo, Rida Laraki, Panayotis Mertikopoulos, Sylvain Sorin:
Learning in nonatomic games, Part I: Finite action spaces and population games. CoRR abs/2107.01595 (2021) - [i55]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. CoRR abs/2107.01906 (2021) - [i54]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye:
Distributed stochastic optimization with large delays. CoRR abs/2107.02919 (2021) - [i53]Kimon Antonakopoulos, Panayotis Mertikopoulos:
Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements. CoRR abs/2107.08011 (2021) - [i52]Benjamin Heymann, Panayotis Mertikopoulos:
A heuristic for estimating Nash equilibria in first-price auctions with correlated values. CoRR abs/2108.04506 (2021) - [i51]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Zeroth-order non-convex learning via hierarchical dual averaging. CoRR abs/2109.05829 (2021) - 2020
- [i50]Panayotis Mertikopoulos, Heinrich H. Nax, Bary S. R. Pradelski:
Quick or cheap? Breaking points in dynamic markets. CoRR abs/2001.00468 (2020) - [i49]Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos, Michael I. Jordan:
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games. CoRR abs/2002.09806 (2020) - [i48]Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher:
A new regret analysis for Adam-type algorithms. CoRR abs/2003.09729 (2020) - [i47]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. CoRR abs/2003.10162 (2020) - [i46]Olivier Bilenne, Panayotis Mertikopoulos, Elena Veronica Belmega:
Fast Gradient-Free Optimization in Distributed Multi-User MIMO Systems. CoRR abs/2006.05445 (2020) - [i45]Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher:
The limits of min-max optimization algorithms: convergence to spurious non-critical sets. CoRR abs/2006.09065 (2020) - [i44]Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou:
Gradient-free Online Learning in Games with Delayed Rewards. CoRR abs/2006.10911 (2020) - [i43]Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher:
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. CoRR abs/2006.11144 (2020) - [i42]Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher:
Regret minimization in stochastic non-convex learning via a proximal-gradient approach. CoRR abs/2010.06250 (2020) - [i41]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Online non-convex optimization with imperfect feedback. CoRR abs/2010.08496 (2020) - [i40]Lampros Flokas, Emmanouil V. Vlatakis-Gkaragkounis, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras:
No-regret learning and mixed Nash equilibria: They do not mix. CoRR abs/2010.09514 (2020) - [i39]Kimon Antonakopoulos, Elena Veronica Belmega, Panayotis Mertikopoulos:
Adaptive extra-gradient methods for min-max optimization and games. CoRR abs/2010.12100 (2020) - [i38]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. CoRR abs/2012.11579 (2020) - 2019
- [i37]Radu Ioan Bot, Panayotis Mertikopoulos, Mathias Staudigl, Phan Tu Vuong:
Forward-backward-forward methods with variance reduction for stochastic variational inequalities. CoRR abs/1902.03355 (2019) - [i36]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
On the convergence of single-call stochastic extra-gradient methods. CoRR abs/1908.08465 (2019) - 2018
- [i35]Elena Veronica Belmega, Panayotis Mertikopoulos, Romain Negrel, Luca Sanguinetti:
Online convex optimization and no-regret learning: Algorithms, guarantees and applications. CoRR abs/1804.04529 (2018) - [i34]Panayotis Mertikopoulos, Houssam Zenati, Bruno Lecouat, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras:
Mirror descent in saddle-point problems: Going the extra (gradient) mile. CoRR abs/1807.02629 (2018) - [i33]Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen:
Learning in time-varying games. CoRR abs/1809.03066 (2018) - [i32]Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl:
Hessian barrier algorithms for linearly constrained optimization problems. CoRR abs/1809.09449 (2018) - [i31]Mario Bravo, David S. Leslie, Panayotis Mertikopoulos:
Bandit learning in concave N-person games. CoRR abs/1810.01925 (2018) - 2017
- [i30]Riccardo Colini-Baldeschi, Roberto Cominetti, Panayotis Mertikopoulos, Marco Scarsini:
On the asymptotic behavior of the price of anarchy: Is selfish routing bad in highly congested networks? CoRR abs/1703.00927 (2017) - [i29]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn:
Mirror descent in non-convex stochastic programming. CoRR abs/1706.05681 (2017) - [i28]Panayotis Mertikopoulos, Christos H. Papadimitriou, Georgios Piliouras:
Cycles in adversarial regularized learning. CoRR abs/1709.02738 (2017) - 2016
- [i27]Panayotis Mertikopoulos, William H. Sandholm:
Riemannian game dynamics. CoRR abs/1603.09173 (2016) - [i26]Panayotis Mertikopoulos, Aris L. Moustakas, Anna Tzanakaki:
Boltzmann meets Nash: Energy-efficient routing in optical networks under uncertainty. CoRR abs/1605.01451 (2016) - [i25]Panayotis Mertikopoulos, Elena Veronica Belmega, Romain Negrel, Luca Sanguinetti:
Distributed stochastic optimization via matrix exponential learning. CoRR abs/1606.01190 (2016) - [i24]Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos:
Exponentially fast convergence to (strict) equilibrium via hedging. CoRR abs/1607.08863 (2016) - [i23]Panayotis Mertikopoulos:
Learning in concave games with imperfect information. CoRR abs/1608.07310 (2016) - [i22]Panayotis Mertikopoulos, Mathias Staudigl:
On the convergence of gradient-like flows with noisy gradient input. CoRR abs/1611.06730 (2016) - 2015
- [i21]Salvatore D'Oro, Panayotis Mertikopoulos, Aris L. Moustakas, Sergio Palazzo:
Cost-Efficient Throughput Maximization in Multi-Carrier Cognitive Radio Systems. CoRR abs/1502.00588 (2015) - [i20]Panayotis Mertikopoulos, Aris L. Moustakas:
In an Uncertain World: Distributed Optimization in MIMO Systems with Imperfect Information. CoRR abs/1502.01653 (2015) - [i19]Ioannis Stiakogiannakis, Panayotis Mertikopoulos, Corinne Touati:
Adaptive Power Allocation and Control in Time-Varying Multi-Carrier MIMO Networks. CoRR abs/1503.02155 (2015) - [i18]Panayotis Mertikopoulos, Elena Veronica Belmega:
Learning to be green: robust energy efficiency maximization in dynamic MIMO-OFDM systems. CoRR abs/1504.03903 (2015) - [i17]Bruno Gaujal, Panayotis Mertikopoulos:
A stochastic approximation algorithm for stochastic semidefinite programming. CoRR abs/1507.01859 (2015) - 2014
- [i16]Joon Kwon, Panayotis Mertikopoulos:
A continuous-time approach to online optimization. CoRR abs/1401.6956 (2014) - [i15]Panayotis Mertikopoulos, William H. Sandholm:
Regularized Best Responses and Reinforcement Learning in Games. CoRR abs/1407.6267 (2014) - [i14]Giacomo Bacci, Elena Veronica Belmega, Panayotis Mertikopoulos, Luca Sanguinetti:
Energy-Aware Competitive Power Allocation for Heterogeneous Networks Under QoS Constraints. CoRR abs/1408.7004 (2014) - [i13]Panayotis Mertikopoulos, Elena Veronica Belmega:
Transmit without regrets: Online optimization in MIMO-OFDM cognitive radio systems. CoRR abs/1410.2592 (2014) - [i12]Steven Perkins, Panayotis Mertikopoulos, David S. Leslie:
Game-theoretical control with continuous action sets. CoRR abs/1412.0543 (2014) - [i11]Mario Bravo, Panayotis Mertikopoulos:
On the Robustness of Learning in Games with Stochastically Perturbed Payoff Observations. CoRR abs/1412.6565 (2014) - [i10]Panayotis Mertikopoulos, Yannick Viossat:
Imitation Dynamics with Payoff Shocks. CoRR abs/1412.7842 (2014) - 2013
- [i9]Pierre Coucheney, Bruno Gaujal, Panayotis Mertikopoulos:
Entropy-driven dynamics and robust learning procedures in games. CoRR abs/1303.2270 (2013) - [i8]Rida Laraki, Panayotis Mertikopoulos:
Inertial game dynamics and applications to constrained optimization. CoRR abs/1305.0967 (2013) - 2012
- [i7]Rida Laraki, Panayotis Mertikopoulos:
Higher Order Game Dynamics. CoRR abs/1206.4181 (2012) - 2011
- [i6]Panayotis Mertikopoulos, Elena Veronica Belmega, Aris L. Moustakas, Samson Lasaulce:
Distributed Learning Policies for Power Allocation in Multiple Access Channels. CoRR abs/1103.3541 (2011) - 2010
- [i5]Panayotis Mertikopoulos, Elena Veronica Belmega, Aris L. Moustakas, Samson Lasaulce:
Dynamic Power Allocation Games in Parallel Multiple Access Channels. CoRR abs/1011.5610 (2010) - 2009
- [i4]Panayotis Mertikopoulos, Aris L. Moustakas:
Rational Behaviour in the Presence of Stochastic Perturbations. CoRR abs/0906.2094 (2009) - [i3]Pavlos Kazakopoulos, Panayotis Mertikopoulos, Aris L. Moustakas, Giuseppe Caire:
Living at the Edge: A Large Deviations Approach to the Outage MIMO Capacity. CoRR abs/0907.5024 (2009) - [i2]Panayotis Mertikopoulos, Aris L. Moustakas:
Balancing Traffic in Networks: Redundancy, Learning and the Effect of Stochastic Fluctuations. CoRR abs/0912.4012 (2009) - 2008
- [i1]Panayotis Mertikopoulos, Aris L. Moustakas:
Correlated Anarchy in Overlapping Wireless Networks. CoRR abs/0805.0963 (2008)
Coauthor Index
Nicholas Bambos
aka: Nick Bambos
aka: Nick Bambos
Emmanouil V. Vlatakis-Gkaragkounis
aka: Emmanouil-Vasileios Vlatakis-Gkaragkounis
aka: Emmanouil-Vasileios Vlatakis-Gkaragkounis
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