Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation
arXiv:2604.25021v1 Announce Type: new
Abstract: We study online regression with the square loss in a reproducing kernel Hilbert space under a dynamic regret criterion. The learner is compared with a time-varying comparator sequence, and the bounds dep…