Stochastic convex optimization with bandit feedback

NeurIPS 2011 Alekh AgarwalDean P. FosterDaniel J. HsuSham M. KakadeAlexander Rakhlin

This paper addresses the problem of minimizing a convex, Lipschitz function $f$ over a convex, compact set $X$ under a stochastic bandit feedback model. In this model, the algorithm is allowed to observe noisy realizations of the function value $f(x)$ at any query point $x \in X$... (read more)

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