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cs.LG2024
An Online Feasible Point Method for Benign Generalized Nash Equilibrium Problems
Sarah Sachs, Hedi Hadiji, Tim van Erven +1
We consider a repeatedly played generalized Nash equilibrium game. This induces a multi-agent online learning problem with joint constraints. An important challenge in this setting…
cs.LG2019★ 2 cited
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning
Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven
We aim to design adaptive online learning algorithms that take advantage of any special structure that might be present in the learning task at hand, with as little manual tuning b…