Machine Learning · Computer Science
Learning Sparsity-Promoting Regularizers using Bilevel Optimization
Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar
2023-09-07
Optimization and Control · Mathematics
Probabilistic Iterative Hard Thresholding for Sparse Learning
Matteo Bergamaschi, Andrea Cristofari, Vyacheslav Kungurtsev, Francesco Rinaldi
2025-08-04
Machine Learning · Computer Science
Learning Sparse Neural Networks via Sensitivity-Driven Regularization
Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti, Gianluca Francini
2018-10-30
Machine Learning · Computer Science
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb, Tobias Weber, Bernd Bischl, David Rügamer
2025-02-10
Machine Learning · Statistics
Nonparametric sparsity and regularization
Lorenzo Rosasco, Silvia Villa, Sofia Mosci, Matteo Santoro +1
2012-08-14
Machine Learning · Computer Science
Sparse Deep Learning Models with the $\ell_1$ Regularization
Lixin Shen, Rui Wang, Yuesheng Xu, Mingsong Yan
2024-08-07
Machine Learning · Computer Science
Sparse Learning for Large-scale and High-dimensional Data: A Randomized Convex-concave Optimization Approach
Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou
2016-10-18
Machine Learning · Statistics
Lass-0: sparse non-convex regression by local search
William Herlands, Maria De-Arteaga, Daniel Neill, Artur Dubrawski
2016-02-18
Neural and Evolutionary Computing · Computer Science
Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm
Anthony Berthelier, Yongzhe Yan, Thierry Chateau, Christophe Blanc +2
2020-07-21
Machine Learning · Statistics
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro
2010-02-11
Machine Learning · Computer Science
Homotopy Parametric Simplex Method for Sparse Learning
Haotian Pang, Robert Vanderbei, Han Liu, Tuo Zhao
2017-11-28