| Abstract: |
| We study a randomized zeroth-order algorithm based only on computation of the difference of function values,
which is associated with mirror descent to solve stochastic optimization problems.
In the convex setting, we present a new convergence
analysis of zeroth-order algorithm with general mirror maps, which relies on the $\ga$-H\"older $(0 |
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