l1 regularization

Mask in the Mirror: Implicit Sparsification ICLR 2025 Spectral Differential Network Analysis for High-Dimensional Time Series AISTATS 2025 Approximate Leave-one-out Cross Validation for Regression with ℓ_1 Regularizers AISTATS 2024 Reproducibility of predictive networks for mouse visual cortex NeurIPS 2024 Tight bounds for maximum ℓ_1-margin classifiers ALT 2024 Adaptive Estimation of Graphical Models under Total Positivity ICML 2023 A Unified Framework for Soft Threshold Pruning ICLR 2023 Open Problem: Running time complexity of accelerated ℓ_1-regularized PageRank COLT 2022 Solving L1-regularized SVMs and Related Linear Programs: Revisiting the Effectiveness of Column and Constraint Generation JMLR 2022 Elastic Graph Neural Networks ICML 2021 Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate NeurIPS 2021 Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression JMLR 2021 Statistical guarantees for local graph clustering JMLR 2021 A Constraint-Based Approach to Learning and Explanation AAAI 2020 Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models L4DC 2020 Thunder: a Fast Coordinate Selection Solver for Sparse Learning NeurIPS 2020 Transfer Learning via ℓ_1 Regularization NeurIPS 2020 Efficient Greedy Coordinate Descent for Composite Problems AISTATS 2019 Error bounds for sparse classifiers in high-dimensions AISTATS 2019 High-Dimensional Poisson Structural Equation Model Learning via ℓ_1-Regularized Regression JMLR 2019 Partially Linear Additive Gaussian Graphical Models ICML 2019 Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method JMLR 2019 Proximal SCOPE for Distributed Sparse Learning NeurIPS 2018 Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers JMLR 2018 WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models ICML 2018