Empirical variance minimization with applications in variance reduction and optimal control

We study the problem of empirical minimization for variance-type functionals over functional classes. Sharp non-asymptotic bounds excess variance are derived under mild conditions. In particular, it is shown that some restrictions imposed on class fast convergence rates can be achieved including optimal non-parametric expressive classes in non-Donsker regime additional assumptions. Our main applications include reduction and control.