639 citations · 2.9k across the 94 of their papers we have counts for
3 papers · 1 filter
Regularizers for Structured Sparsity
Charles A. Micchelli, Jean M. Morales, Massimiliano Pontil
We study the problem of learning a sparse linear regression vector under additional conditions on the structure of its sparsity pattern. This problem is relevant in machine learnin…
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov +1
We consider the problem of estimating a sparse linear regression vector under a gaussian noise model, for the purpose of both prediction and model selection. We assume that p…
K-Dimensional Coding Schemes in Hilbert Spaces
Andreas Maurer Massimiliano Pontil
This paper presents a general coding method where data in a Hilbert space are represented by finite dimensional coding vectors. The method is based on empirical risk minimization w…