Median-of-Means robustifies gradients to achieve almost sure convergence of Nash equilibrium seeking under heavy-tailed noise with finite δ-moments.
High-probability bounds for stochastic optimization and variational inequalities: the case of unbounded variance
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Median-of-Means for Nash Equilibrium Seeking in Heavy-Tailed Games
Median-of-Means robustifies gradients to achieve almost sure convergence of Nash equilibrium seeking under heavy-tailed noise with finite δ-moments.