l0 regularization

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 NeurIPS 2024 L0Learn: A Scalable Package for Sparse Learning using L0 Regularization JMLR 2023 Simpler neural networks prefer subregular languages EMNLP 2023 Sparse Bayesian optimization AISTATS 2023 Sparse Interventions in Language Models with Differentiable Masking EMNLP 2022 Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives JMLR 2021 Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models AAAI 2021 Feature Selection using Stochastic Gates ICML 2020 Safe screening rules for L0-regression from Perspective Relaxations ICML 2020 Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned ACL 2019 Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems UAI 2019 Interpretable Neural Predictions with Differentiable Binary Variables ACL 2019 Learning Sparse Neural Networks through L_0 Regularization ICLR 2018 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