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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

Greedy Algorithms for Structurally Constrained High Dimensional Problems NIPS 2011
Sparse Estimation with Structured Dictionaries NIPS 2011
Restricted Eigenvalue Properties for Correlated Gaussian Designs JMLR 2010
The LASSO risk: asymptotic results and real world examples NIPS 2010
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies NIPS 2010
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010
Descent Methods for Tuning Parameter Refinement AISTATS 2010
The Group Dantzig Selector AISTATS 2010
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach AISTATS 2010
Fast detection of multiple change-points shared by many signals using group LARS NIPS 2010
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NIPS 2010
A Family of Penalty Functions for Structured Sparsity NIPS 2010
Fast global convergence rates of gradient methods for high-dimensional statistical recovery NIPS 2010
CUR from a Sparse Optimization Viewpoint NIPS 2010
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NIPS 2009
On the Consistency of Feature Selection using Greedy Least Squares Regression JMLR 2009
Time-Varying Dynamic Bayesian Networks NIPS 2009
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NIPS 2009
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NIPS 2009
Phase transitions for high-dimensional joint support recovery NIPS 2008
An Homotopy Algorithm for the Lasso with Online Observations NIPS 2008
Robust Regression and Lasso NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008
Compressed Regression NIPS 2007
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002