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Panayotis Mertikopoulos

2
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

johanne-cohen

Hedging under uncertainty: regret minimization meets exponentially fast convergence

Johanne Cohen , Amélie Héliou , Panayotis Mertikopoulos
Symposium 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

Learning with bandit feedback in potential games

Johanne Cohen , Amélie Héliou , Panayotis Mertikopoulos
NIPS '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