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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

Statistical-Computational Tradeoff in Single Index Models NIPS 2019
Conditional Sparse $L_p$-norm Regression With Optimal Probability AISTATS 2019
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
Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method JMLR 2019
The Impact of Regularization on High-dimensional Logistic Regression NIPS 2019
Doubly-Robust Lasso Bandit NIPS 2019
Sparse High-Dimensional Isotonic Regression NIPS 2019
Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization JMLR 2019
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression COLT 2019
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning ICML 2019
InteractionNN: A Neural Network for Learning Hidden Features in Sparse Prediction IJCAI 2019
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression IJCAI 2018
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit ICML 2018
A Constructive Approach to $L_0$ Penalized Regression JMLR 2018
Sparse Concordance-assisted Learning for Optimal Treatment Decision JMLR 2018
Gradient Hard Thresholding Pursuit JMLR 2018
Bilevel learning of the Group Lasso structure NIPS 2018
Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables AISTATS 2018
Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression COLT 2018
Boosted Sparse and Low-Rank Tensor Regression NIPS 2018
Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression AISTATS 2018
On Tight Bounds for the Lasso JMLR 2018
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization NIPS 2018
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds NIPS 2018