Panayotis Mertikopoulos
Orcid: 0000-0003-2026-9616Affiliations:
- Université Grenoble Alpes, Grenoble INP, LIG, France
According to our database1,
Panayotis Mertikopoulos
authored at least 154 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Math. Program., January, 2024
On the discrete-time origins of the replicator dynamics: From convergence to instability and chaos.
CoRR, 2024
2023
EURO J. Comput. Optim., January, 2023
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Online Reconfiguration of IoT Applications in the Fog: The Information-Coordination Trade-Off.
IEEE Trans. Parallel Distributed Syst., 2022
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism.
J. Mach. Learn. Res., 2022
On the rate of convergence of Bregman proximal methods in constrained variational inequalities.
CoRR, 2022
Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee.
CoRR, 2022
Online convex optimization in wireless networks and beyond: The feedback-performance trade-off.
Proceedings of the 20th International Symposium on Modeling and Optimization in Mobile, 2022
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
On the convergence of policy gradient methods to Nash equilibria in general stochastic games.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
2021
A heuristic for estimating Nash equilibria in first-price auctions with correlated values.
CoRR, 2021
Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements.
CoRR, 2021
CoRR, 2021
From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable.
CoRR, 2021
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
The convergence rate of regularized learning in games: From bandits and uncertainty to optimism and beyond.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Sifting through the noise: Universal first-order methods for stochastic variational inequalities.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium.
Proceedings of the Conference on Learning Theory, 2021
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information.
Proceedings of the Conference on Learning Theory, 2021
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities.
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Fast Optimization With Zeroth-Order Feedback in Distributed, Multi-User MIMO Systems.
IEEE Trans. Signal Process., 2020
SIAM J. Optim., 2020
Oper. Res., 2020
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Network Games, Control and Optimization - 10th International Conference, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach.
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Online Power Optimization in Feedback-Limited, Dynamic and Unpredictable IoT Networks.
IEEE Trans. Signal Process., 2019
SIAM J. Optim., 2019
Math. Program., 2019
Forward-backward-forward methods with variance reduction for stochastic variational inequalities.
CoRR, 2019
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Large-Scale Network Utility Maximization: Countering Exponential Growth with Exponentiated Gradients.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019
2018
SIAM J. Optim., 2018
Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities.
J. Optim. Theory Appl., 2018
Online convex optimization and no-regret learning: Algorithms, guarantees and applications.
CoRR, 2018
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Cogn. Commun. Netw., 2017
IEEE Trans. Autom. Control., 2017
On the robustness of learning in games with stochastically perturbed payoff observations.
Games Econ. Behav., 2017
On the asymptotic behavior of the price of anarchy: Is selfish routing bad in highly congested networks?
CoRR, 2017
Comput. Networks, 2017
Proceedings of the Web and Internet Economics - 13th International Conference, 2017
Proceedings of the Algorithmic Game Theory - 10th International Symposium, 2017
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
Learning in an Uncertain World: MIMO Covariance Matrix Optimization With Imperfect Feedback.
IEEE Trans. Signal Process., 2016
Learning to Be Green: Robust Energy Efficiency Maximization in Dynamic MIMO-OFDM Systems.
IEEE J. Sel. Areas Commun., 2016
Boltzmann meets Nash: Energy-efficient routing in optical networks under uncertainty.
CoRR, 2016
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016
A novel dynamic network architecture model based on stochastic geometry and game theory.
Proceedings of the 2016 IEEE International Conference on Communications, 2016
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
2015
IEEE Trans. Wirel. Commun., 2015
Energy-Aware Competitive Power Allocation for Heterogeneous Networks Under QoS Constraints.
IEEE Trans. Wirel. Commun., 2015
SIAM J. Control. Optim., 2015
Math. Oper. Res., 2015
CoRR, 2015
In an Uncertain World: Distributed Optimization in MIMO Systems with Imperfect Information.
CoRR, 2015
CoRR, 2015
CoRR, 2015
No more tears: A no-regret approach to power control in dynamically varying MIMO networks.
Proceedings of the 13th International Symposium on Modeling and Optimization in Mobile, 2015
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015
2014
IEEE J. Sel. Areas Commun., 2014
Adaptive transmit policies for cost-efficient power allocation in multi-carrier systems.
Proceedings of the 12th International Symposium on Modeling and Optimization in Mobile, 2014
Proceedings of the 12th International Symposium on Modeling and Optimization in Mobile, 2014
Distributed optimization in multi-user MIMO systems with imperfect and delayed information.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
No regrets: Distributed power control under time-varying channels and QoS requirements.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
Adaptive spectrum management in MIMO-OFDM cognitive radio: an exponential learning approach.
Proceedings of the 7th International Conference on Performance Evaluation Methodologies and Tools, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the IEEE International Conference on Communications, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2012
IEEE J. Sel. Areas Commun., 2012
Proceedings of the 6th International Conference on Network Games, 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
2011
IEEE Trans. Inf. Theory, 2011
CoRR, 2011
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011
2010
Balancing traffic in networks: redundancy, learning, and the effect of stochastic fluctuations.
Proceedings of the Behavioral and Quantitative Game Theory, 2010
2009
Proceedings of the 2009 IEEE Information Theory Workshop, 2009
Proceedings of the 1st International Conference on Game Theory for Networks, 2009
2008
IEEE J. Sel. Areas Commun., 2008
Proceedings of the 6th International Symposium on Modeling and Optimization in Mobile, 2008
Proceedings of IEEE International Conference on Communications, 2008
2007
The simplex game: can selfish users learn to operate efficiently in wireless networks?
Proceedings of the 2nd International Conference on Performance Evaluation Methodolgies and Tools, 2007