From switching to dynamic regret: a simple reduction via unbiased random sequences
Read the original at arxiv.org→arXiv:2609.20968v1 Announce Type: new Abstract: In non-stationary online learning, dynamic regret has attracted increasing attention as a measure of how well an online learner performs against a time-varying...
Original headline: "From Switching to Dynamic Regret: A Simple Reduction via Unbiased Random Sequences"
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- Sep 21, 04:00 UTC arXiv cs.LG lead source From Switching to Dynamic Regret: A Simple Reduction via Unbiased Random Sequences