Sasila Ilandarideva

Stochastic Mirror Descent for Large-Scale Sparse Recovery

We discuss an application of Stochastic Approximation to statistical estimation of high-dimensional sparse parameters. The proposed solution reduces to resolving a penalized stochastic optimization problem on each stage of a multistage algorithm; each problem being solved to a prescribed accuracy by…