104 citations · 226 across the 9 of their papers we have counts for
3 papers · 1 filter
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening
Cassio F. Dantas, Emmanuel Soubies, Cédric Févotte
Non-negative and bounded-variable linear regression problems arise in a variety of applications in machine learning and signal processing. In this paper, we propose a technique to…
Leveraging Joint-Diagonalization in Transform-Learning NMF
Sixin Zhang, Emmanuel Soubies, Cédric Févotte
Non-negative matrix factorization with transform learning (TL-NMF) is a recent idea that aims at learning data representations suited to NMF. In this work, we relate TL-NMF to the…
Expanding boundaries of Gap Safe screening
Cassio F. Dantas, Emmanuel Soubies, Cédric Févotte
Sparse optimization problems are ubiquitous in many fields such as statistics, signal/image processing and machine learning. This has led to the birth of many iterative algorithms…