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sparse regression

175 papers

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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

Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model IJCAI 2017
Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect JMLR 2017
Generalized Linear Model Regression under Distance-to-set Penalties NIPS 2017
Communication-efficient Sparse Regression JMLR 2017
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent ICML 2017
Robust Regression via Heuristic Hard Thresholding IJCAI 2017
High-Dimensional Structured Quantile Regression ICML 2017
High Dimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transtition COLT 2017
Structured Sparse Regression via Greedy Hard Thresholding NIPS 2016
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity ICML 2016
Learning Sparse Additive Models with Interactions in High Dimensions AISTATS 2016
A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016
Feature-distributed sparse regression: a screen-and-clean approach NIPS 2016
Sparse Support Recovery with Non-smooth Loss Functions NIPS 2016
DECOrrelated feature space partitioning for distributed sparse regression NIPS 2016
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models AISTATS 2016
Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects AISTATS 2016
Variable Selection is Hard COLT 2015
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias ACML 2015
Subset Selection by Pareto Optimization NIPS 2015
Functional Subspace Clustering with Application to Time Series ICML 2015
Open Problem: The Oracle Complexity of Smooth Convex Optimization in Nonstandard Settings COLT 2015
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NIPS 2014
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014
Learning Graphical Models With Hubs JMLR 2014