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sparse regression

175 papers

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Also known as

SR

Co-occurring keywords

feature selection (649) high-dimensional statistics (145) convex optimization (1321) sparse optimization (246) high-dimensional regression (142) lasso regression (61) compressed sensing (201) variable selection (146) support recovery (43) l1 regularization (87)

Papers

Principal Component Hierarchy for Sparse Quadratic Programs ICML 2021
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics NIPS 2021
Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation AISTATS 2021
Sparse Tensor Additive Regression JMLR 2021
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings ICML 2021
Implicit Sparse Regularization: The Impact of Depth and Early Stopping NIPS 2021
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem NIPS 2021
Stability and Risk Bounds of Iterative Hard Thresholding AISTATS 2021
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020
High Dimensional Robust Sparse Regression AISTATS 2020
Sparse Symplectically Integrated Neural Networks NIPS 2020
Subset Selection by Pareto Optimization with Recombination AAAI 2020
Spike and slab variational Bayes for high dimensional logistic regression NIPS 2020
Empirical Priors for Prediction in Sparse High-dimensional Linear Regression JMLR 2020
Implicit differentiation of Lasso-type models for hyperparameter optimization ICML 2020
Support recovery and sup-norm convergence rates for sparse pivotal estimation AISTATS 2020
Bayesian Model Selection with Graph Structured Sparsity JMLR 2020
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis ICML 2020
Fast OSCAR and OWL Regression via Safe Screening Rules ICML 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage COLT 2020
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices UAI 2020
Sparse Hilbert-Schmidt Independence Criterion Regression AISTATS 2020
Binarsity: a penalization for one-hot encoded features in linear supervised learning JMLR 2019
An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search JMLR 2019