Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses

Anonnymous

Neural Information Processing Systems 

Recently, researchers from convex optimization proposed the notions of "relative Lipschitz continuity" and "relative strong convexity".

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