← Keywords

variable selection

146 papers

Explore in graph

Co-occurring keywords

feature selection (649) high-dimensional regression (142) sparse regression (175) high-dimensional datum (157) false discovery rate (75) convex optimization (1320) bayesian inference (1904) group lasso (64) high-dimensional statistics (145) model selection (454)

Papers

Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach ICML 2018
Provable Variable Selection for Streaming Features ICML 2018
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net NIPS 2018
Group Sparse Additive Machine NIPS 2017
Improving Gibbs Sampler Scan Quality with DoGS ICML 2017
Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted $L_1$-norms AISTATS 2017
A Screening Rule for l1-Regularized Ising Model Estimation NIPS 2017
Regularized Modal Regression with Applications in Cognitive Impairment Prediction NIPS 2017
Feature selection in functional data classification with recursive maxima hunting NIPS 2016
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm AISTATS 2016
Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016
DECOrrelated feature space partitioning for distributed sparse regression NIPS 2016
Modelling Interactions in High-dimensional Data with Backtracking JMLR 2016
Model-free Variable Selection in Reproducing Kernel Hilbert Space JMLR 2016
Selective inference for group-sparse linear models NIPS 2016
A Greedy Homotopy Method for Regression with Nonconvex Constraints AISTATS 2015
Closed-form Estimators for High-dimensional Generalized Linear Models NIPS 2015
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models AISTATS 2015
Variable Selection is Hard COLT 2015
FuSSO: Functional Shrinkage and Selection Operator AISTATS 2014
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014
Algorithms for Discovery of Multiple Markov Boundaries JMLR 2013
On model selection consistency of penalized M-estimators: a geometric theory NIPS 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NIPS 2013
Nonparametric Sparsity and Regularization JMLR 2013