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hal-03342397v1  Conference papers
Panayotis MertikopoulosMathias Staudigl. Equilibrium tracking and convergence in dynamic games
CDC 2021 - 60th IEEE Annual Conference on Decision and Control, Dec 2021, Austin, United States. pp.1-8
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hal-03342395v1  Conference papers
Yu-Guan HsiehFranck IutzelerJérôme MalickPanayotis Mertikopoulos. Optimization in open networks via dual averaging
CDC 2021 - 60th IEEE Annual Conference on Decision and Control, Dec 2021, Austin, United States. pp.1-7
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hal-02925284v2  Preprints, Working Papers, ...
Olivier Bilenne. Dispatching to Parallel Servers
2021
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hal-01544609v5  Journal articles
Rémi GribonvalGilles BlanchardNicolas KerivenYann Traonmilin. Compressive Statistical Learning with Random Feature Moments
Mathematical Statistics and Learning, EMS Publishing House, 2021, 3 (2), pp.113-164. ⟨10.4171/msl/20⟩
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hal-03342583v1  Conference papers
Waïss AzizianFranck IutzelerJérôme MalickPanayotis Mertikopoulos. The last-iterate convergence rate of optimistic mirror descent in stochastic variational inequalities
COLT 2021 - 34th Annual Conference on Learning Theory, Aug 2021, Boulder, United States. pp.1-32
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hal-03342410v1  Conference papers
Yu-Guan HsiehKimon AntonakopoulosPanayotis Mertikopoulos. Adaptive learning in continuous games: Optimal regret bounds and convergence to Nash equilibrium
COLT 2021 - the 34th Annual Conference on Learning Theory, Aug 2021, Boulder, United States. pp.1-34
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hal-03341912v1  Conference papers
Amélie HéliouMatthieu MartinThibaud RahierPanayotis Mertikopoulos. Zeroth-order non-convex learning via hierarchical dual averaging
ICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Vienna, Austria. pp.1-34
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hal-03043872v1  Conference papers
Nadav HallakPanayotis MertikopoulosVolkan Cevher. Regret minimization in stochastic non-convex learning via a proximal-gradient approach
ICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Vienna, Austria
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hal-03043862v1  Conference papers
Ya-Ping HsiehPanayotis MertikopoulosVolkan Cevher. The limits of min-max optimization algorithms: Convergence to spurious non-crticial sets
ICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Vienna, Austria
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hal-03342601v1  Conference papers
Kimon AntonakopoulosVeronica BelmegaPanayotis Mertikopoulos. Adaptive extra-gradient methods for min-max optimization and games
ICLR 2021 - 9th International Conference on Learning Representations, May 2021, Virtual, Unknown Region. pp.1-28
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hal-03217277v2  Reports
O RoustantRodolphe Le RicheJosselin GarnierDavid GinsbourgerYves Deville et al.  Chair in applied mathematics OQUAIDO Activity report
[Research Report] Mines Saint-Etienne; Ecole Centrale Lyon; BRGM (Bureau de recherches géologiques et minières); CEA; IFP Energies Nouvelles; Institut de Radioprotection et de Sûreté Nucléaire; Safran Tech; Storengy; CNRS; Université Grenoble - Alpes; Université Nice - Sophia Antipolis; Université Toulouse 3 (Paul Sabatier). 2021
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hal-03342384v1  Journal articles
Zhengyuan ZhouPanayotis MertikopoulosNicholas Bambos ⋄Peter Glynn ⋄Yinyu Ye. Distributed stochastic optimization with large delays
Mathematics of Operations Research, INFORMS, In press, pp.1-41
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hal-02151564v2  Journal articles
Marie MorvanEmilie DevijverMadison GiacofciValérie Monbet. Prediction of the Nash through Penalized Mixture of Logistic Regression Models
Annals of Applied Statistics, Institute of Mathematical Statistics, 2021, 15 (2), pp.952-970. ⟨10.1214/20-AOAS1409⟩
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hal-01496885v2  Journal articles
Josu DoncelNicolas GastBruno Gaujal. A Mean Field Game Analysis of SIR Dynamics with Vaccination
Probability in the Engineering and Informational Sciences, Cambridge University Press (CUP), 2020, pp.1-18. ⟨10.1017/S0269964820000522⟩
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hal-03043771v1  Conference papers
Panayotis MertikopoulosNadav HallakAli KavisVolkan Cevher. On the almost sure convergence of stochastic gradient descent in non-convex problems
NeurIPS 2020 - 34th International Conference on Neural Information Processing Systems, Dec 2020, Vancouver, Canada. pp.1-32
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hal-03043763v1  Conference papers
Lampros FlokasEmmanouil Vlatakis-GkaragkounisThanasis LianeasPanayotis MertikopoulosGeorgios Piliouras. No-regret learning and mixed Nash equilibria: They do not mix
NeurIPS 2020 - 34th International Conference on Neural Information Processing Systems, Dec 2020, Vancouver, Canada. pp.1-24
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hal-03043746v1  Conference papers
Amélie HéliouMatthieu MartinPanayotis MertikopoulosThibaud Rahier. Online non-convex optimization with imperfect feedback
NeurIPS 2020 - 34th International Conference on Neural Information Processing Systems, Dec 2020, Vancouver, Canada. pp.1-30
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hal-03002844v1  Conference papers
Yu-Guan HsiehFranck IutzelerJérôme MalickPanayotis Mertikopoulos. Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
NeurIPS '20 - 34th International Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada. pp.16223--16234
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hal-02920356v1  Journal articles
Charles RocabertGuillaume BeslonCarole KnibbeSamuel Bernard. Phenotypic noise and the cost of complexity
Evolution - International Journal of Organic Evolution, Wiley, 2020, ⟨10.1111/evo.14083⟩
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hal-03043697v1  Conference papers
Ahmet AlacaogluYura MalitskyPanayotis MertikopoulosVolkan Cevher. A new regret analysis for Adam-type algorithms
ICML 2020 - 37th International Conference on Machine Learning, Jul 2020, Vienna, Austria. pp.1-10
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hal-03043703v1  Conference papers
Amélie HéliouPanayotis MertikopoulosZhengyuan Zhou. Gradient-free Online Learning in Games with Delayed Rewards
ICML 2020 - 37th International Conference on Machine Learning, Jul 2020, Vienna, Austria. pp.1-11
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hal-03043688v1  Conference papers
Panayotis MertikopoulosHeinrich NaxBary Pradelski. Quick or cheap? Breaking points in dynamic markets
EC 2020 - 21st ACM Conference on Economics and Computation, Jul 2020, Budapest, Hungary. pp.1-32
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hal-03043711v1  Conference papers
Tianyi LinZhengyuan ZhouPanayotis MertikopoulosMichael Jordan. Finite-time last-iterate convergence for multi-agent learning in games
ICML 2020 - 37th International Conference on Machine Learning, Jul 2020, Vienna, Austria. pp.1-11
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hal-02502329v1  Conference papers
Kilian FatrasYounes ZineRémi FlamaryRémi GribonvalNicolas Courty. Learning with minibatch Wasserstein : asymptotic and gradient properties
AISTATS 2020 - 23nd International Conference on Artificial Intelligence and Statistics, Jun 2020, Palermo, Italy. pp.1-20
hal-02982682v1  Journal articles
Nicolas GastStratis IoannidisPatrick LoiseauBenjamin Roussillon. Linear Regression from Strategic Data Sources
ACM Transactions on Economics and Computation, Association for Computing Machinery (ACM), 2020, 8 (2), pp.1-24. ⟨10.1145/3391436⟩
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hal-03043671v1  Conference papers
Kimon AntonakopoulosElena Veronica BelmegaPanayotis Mertikopoulos. Online and Stochastic Optimization beyond Lipschitz Continuity: A Riemannian Approach
ICLR 2020 - International Conference on Learning Representations, Apr 2020, Addis Ababa, Ethiopia. pp.1-20
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tel-02509756v1  Habilitation à diriger des recherches
Nicolas Gast. Refinements of Mean Field Approximation
Performance [cs.PF]. Université Grenoble Alpes, 2020
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hal-02881559v1  Conference papers
Olivier BilennePanayotis MertikopoulosElena Veronica Belmega. Derivative-Free Optimization over Multi-User MIMO Networks
NetGCoop '20: The 2020 International Conference on Network Games, Control and Optimization, 2020, Cargese, France
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hal-02861460v2  Journal articles
Olivier BilennePanayotis MertikopoulosElena Veronica Belmega. Fast Optimization with Zeroth-Order Feedback in Distributed, Multi-User MIMO Systems
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2020, 68, pp.6085-6100. ⟨10.1109/TSP.2020.3029983⟩
hal-03153797v1  Books
Arnold RosenbergDenis Trystram. Understand Mathematics, Understand Computing
Springer International Publishing, pp.1-550, 2020, 978-3-030-58375-0. ⟨10.1007/978-3-030-58376-7⟩
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hal-01643346v1  Journal articles
Zhengyuan ZhouPanayotis MertikopoulosNicholas BambosStephen BoydPeter W. Glynn. On the convergence of mirror descent beyond stochastic convex programming
SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2020, 30 (1), pp.687-716. ⟨10.1137/17M1134925⟩
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hal-02394147v1  Journal articles
Jonatha AnselmiFrançois Dufour. Power-of-d-Choices with Memory: Fluid Limit and Optimality
Mathematics of Operations Research, INFORMS, In press, 45 (3), pp.862-888. ⟨10.1287/moor.2019.1014⟩
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tel-02428077v1  Habilitation à diriger des recherches
Panayotis Mertikopoulos. Online optimization and learning in games: Theory and applications
Optimization and Control [math.OC]. Grenoble 1 UGA - Université Grenoble Alpes, 2019