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sparse learning

112 papers

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Co-occurring keywords

feature selection (649) convex optimization (1320) l1 regularization (87) stochastic optimization (1060) kernel methods (1096) bayesian inference (1904) group lasso (64) sparse regression (175) gradient descent (1143) sparse optimization (246)

Papers

Towards Nonlinear Sparse AUC Maximization via Compositional Stochastic Hard Thresholding AAAI 2026
Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network AAAI 2026
Learning Sparsity for Effective and Efficient Music Performance Question Answering ACL 2025
Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces JMLR 2024
Learning Macroscopic Dynamics from Partial Microscopic Observations NIPS 2024
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning ICML 2023
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization JMLR 2023
Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns AAAI 2023
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks NIPS 2023
Efficient Top-K Feature Selection Using Coordinate Descent Method AAAI 2023
Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach ICML 2023
Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited IJCAI 2022
Thresholded Lasso Bandit ICML 2022
Sparse Invariant Risk Minimization ICML 2022
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity NIPS 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty NIPS 2022
Sparse Tensor Additive Regression JMLR 2021
Cardinality-Regularized Hawkes-Granger Model NIPS 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks AAAI 2021
Finding Sparse Structures for Domain Specific Neural Machine Translation AAAI 2021
Parameter-Efficient Transfer Learning with Diff Pruning ACL 2021
Transfer Learning via $\ell_1$ Regularization NIPS 2020
Information theoretic limits of learning a sparse rule NIPS 2020
Spike and slab variational Bayes for high dimensional logistic regression NIPS 2020