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l0 regularization

17 papers

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Also known as

L0

Co-occurring keywords

feature selection (649) sparse optimization (246) model compression (3302) neural network (6616) coordinate descent (147) sparse regression (175) sparse learning (112) semidefinite optimization (5) sparsity-inducing penalty (4) rank-one approximation (3)

Papers

Accelerating Dense LLMs via L0-regularized Mixture-of-Experts ACL 2025
Rank-one Convexification for Sparse Regression JMLR 2025
Interpretable Generalized Additive Models for Datasets with Missing Values NIPS 2024
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization JMLR 2023
Sparse Bayesian optimization AISTATS 2023
Simpler neural networks prefer subregular languages EMNLP 2023
Sparse Interventions in Language Models with Differentiable Masking EMNLP 2022
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models AAAI 2021
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives JMLR 2021
Safe screening rules for L0-regression from Perspective Relaxations ICML 2020
Feature Selection using Stochastic Gates ICML 2020
Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems UAI 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned ACL 2019
Interpretable Neural Predictions with Differentiable Binary Variables ACL 2019
Gradient Boosted Decision Trees for High Dimensional Sparse Output ICML 2017
Robust Non-Rigid Motion Tracking and Surface Reconstruction Using L0 Regularization ICCV 2015
Deblurring Text Images via L0-Regularized Intensity and Gradient Prior CVPR 2014