On the accuracy of l-filtering of signals with block-sparse structure Boris Polyak

Neural Information Processing Systems 

Our emphasis is on the efficiently computable error bounds for the recovery routines. We optimize these bounds with respect to the method parameters to construct the estimators with improved statistical properties. We justify the proposed approach with an oracle inequality which links the properties of the recovery algorithms and the best estimation performance.