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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

Faster Ridge Regression via the Subsampled Randomized Hadamard Transform NIPS 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models NIPS 2013
Sparse Single-Index Model JMLR 2013
Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery ICML 2013
One-shot learning and big data with n=2 NIPS 2013
Consistent Model Selection Criteria on High Dimensions JMLR 2012
Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012
Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality JMLR 2012
Sparse recovery by thresholded non-negative least squares NIPS 2011
Tight conditions for consistent variable selection in high dimensional nonparametric regression COLT 2011
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity NIPS 2011
A Dirty Model for Multi-task Learning NIPS 2010
Multivariate Dyadic Regression Trees for Sparse Learning Problems NIPS 2010
Compressed Least-Squares Regression NIPS 2009
High-dimensional support union recovery in multivariate regression NIPS 2008
SpAM: Sparse Additive Models NIPS 2007
Quantile Regression Forests JMLR 2006