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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Gradient-free Online Learning in Games with Delayed RewardsICML 2020 - 37th International Conference on Machine Learning, Jul 2020, Vienna, Austria. pp.1-11
Communication dans un congrès
hal-03043703v1
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Hedging under uncertainty: regret minimization meets exponentially fast convergenceSymposium on Algorithmic Game Theory (SAGT) 2017, Sep 2017, L'Aquila, Italy. ⟨10.1007/978-3-319-66700-3_20⟩
Communication dans un congrès
hal-01382290v1
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Learning with bandit feedback in potential gamesNIPS '17: Proceedings of the 31st International Conference on Neural Information Processing Systems, Dec 2017, Long Beach, CA, United States
Communication dans un congrès
hal-01643352v1
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