639 citations · 2.9k across the 94 of their papers we have counts for
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stat.ML2010★ 6 cited
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…
stat.ML2010
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…