Panayotis Mertikopoulos
3
Documents
Présentation
I am a principal researcher at the French National Center for Scientific Research (CNRS), where I am a member of the Inria/LIG research team POLARIS. My research interests are somewhat eclectic, and they span the interface of game theory, learning and optimization, with a special view towards their applications to machine learning, operations research, and network theory. I’m especially interested in the long-run behavior of game-theoretic learning and optimization algorithms and dynamics – whether they converge, at what speed, and/or what type of non-stationary, off-equilibrium behaviors may arise when they do not.
Publications
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Distributed stochastic optimization via matrix exponential learningIEEE Transactions on Signal Processing, 2017, 65 (9), pp.2277-2290. ⟨10.1109/tsp.2017.2656847⟩
Article dans une revue
hal-01382285v1
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Online convex optimization in wireless networks and beyond: The feedback -performance trade-offRAWNET 2022 - International Workshop on Resource Allocation and Cooperation in Wireless Networks, Sep 2022, Turin, Italy. pp.1-8
Communication dans un congrès
hal-03737125v2
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Online convex optimization and no-regret learning: Algorithms, guarantees and applications2018
Pré-publication, Document de travail
hal-01891562v1
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