sparse linear model

LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues ACL 2026 Provable Guarantees For Robust Feature Selection in Sparse Linear Models in High-Dimensions UAI 2026 Prediction models that learn to avoid missing values ICML 2025 Conformalization of Sparse Generalized Linear Models ICML 2023 Open Problem: Learning sparse linear concepts by priming the features COLT 2023 Sparse Activations for Interpretable Disease Grading MIDL 2023 The Contextual Lasso: Sparse Linear Models via Deep Neural Networks NeurIPS 2023 Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits ICML 2023 FasterRisk: Fast and Accurate Interpretable Risk Scores NeurIPS 2022 Distributed Machine Learning with Sparse Heterogeneous Data NeurIPS 2021 Leveraging Sparse Linear Layers for Debuggable Deep Networks ICML 2021 Spectral Deconfounding via Perturbed Sparse Linear Models JMLR 2020 Outlier-robust estimation of a sparse linear model using ℓ_1-penalized Huber's M-estimator NeurIPS 2019 Sparse Linear Isotonic Models AISTATS 2018 WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models ICML 2018 Experimental Design on a Budget for Sparse Linear Models and Applications ICML 2016 Sparse Parameter Recovery from Aggregated Data ICML 2016 Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction AISTATS 2016 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Dimensionality Reduction Using the Sparse Linear Model NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 Bayesian Inference and Optimal Design for the Sparse Linear Model JMLR 2008 Multi-stage Convex Relaxation for Learning with Sparse Regularization NeurIPS 2008 Compressed Regression NeurIPS 2007