Kavin Aravindan

Online adaptive kernel mixing for Gaussian process decision making

This work introduces HACK GPs (Hedge Adaptive Cumulative Kernels), a method that views kernel selection as an online learning with expert advice problem and establishes general guarantees showing that, under a loss-gap condition, the weight concentrates on the best kernel and the resulting acquisition function is close...