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20152026
most citedType I and Type II Bayesian Methods for Sparse Signal Recovery using Scale Mixtures

144 citations · 165 across the 14 of their papers we have counts for

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stat.ML2016

A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem

Igor Fedorov, Alican Nalci, Ritwik Giri +3

We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS occurs naturally in a wide variety of applications where an unknown, non-negative quantity must be recovered…