Panayotis Mertikopoulos
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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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The last-iterate convergence rate of optimistic mirror descent in stochastic variational inequalitiesCOLT 2021 - 34th Annual Conference on Learning Theory, Aug 2021, Boulder, United States. pp.1-32
Communication dans un congrès
hal-03342583v1
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On the rate of convergence of Bregman proximal methods in constrained variational inequalities2022
Pré-publication, Document de travail
hal-03873992v1
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