KBSA: a two-timescale kernel-smoothing stochastic approximation algorithm that jointly estimates and optimizes a broad class of contextual risk measures, with a.s. convergence and O(n^{-1/5}) (or O(n^{-r/(4r+2)}) accelerated) MSE bounds.
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A kernel-based stochastic approximation framework for contextual optimization
KBSA: a two-timescale kernel-smoothing stochastic approximation algorithm that jointly estimates and optimizes a broad class of contextual risk measures, with a.s. convergence and O(n^{-1/5}) (or O(n^{-r/(4r+2)}) accelerated) MSE bounds.