A hierarchical forecaster combining discounted VAW with random features achieves expected dynamic regret O(T^{2/3} P_T^{1/3} + sqrt(T) ln T) for online regression in RKHS.
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A hierarchical Vovk-Azoury-Warmuth forecaster with discounting for online regression in RKHS
A hierarchical forecaster combining discounted VAW with random features achieves expected dynamic regret O(T^{2/3} P_T^{1/3} + sqrt(T) ln T) for online regression in RKHS.