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high-dimensional regression

142 papers

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Co-occurring keywords

sparse regression (175) feature selection (649) variable selection (146) linear regression (282) high-dimensional statistics (145) sparse optimization (246) high-dimensional datum (158) distributed learning (563) convex optimization (1321) model selection (456)

Papers

Alternating Estimation for Structured High-Dimensional Multi-Response Models NIPS 2017
Robust Structured Estimation with Single-Index Models ICML 2017
Breaking the Curse of Dimensionality with Convex Neural Networks JMLR 2017
Communication-efficient Sparse Regression JMLR 2017
Identifying a Minimal Class of Models for High--dimensional Data JMLR 2017
Gap Safe Screening Rules for Sparsity Enforcing Penalties JMLR 2017
Sharp Oracle Inequalities for Square Root Regularization JMLR 2017
Learning ReLUs via Gradient Descent NIPS 2017
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications ICML 2017
Modelling Interactions in High-dimensional Data with Backtracking JMLR 2016
Feature-distributed sparse regression: a screen-and-clean approach NIPS 2016
Distributed Multi-Task Learning AISTATS 2016
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016
No penalty no tears: Least squares in high-dimensional linear models ICML 2016
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees JMLR 2016
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery JMLR 2015
On Sparse Gaussian Chain Graph Models NIPS 2014
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NIPS 2014
Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NIPS 2014
Multivariate Regression with Calibration NIPS 2014
Elementary Estimators for High-Dimensional Linear Regression ICML 2014
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NIPS 2013
On model selection consistency of penalized M-estimators: a geometric theory NIPS 2013