Co-occurring keywords · papers mentioning both
Papers
A Greedy Homotopy Method for Regression with Nonconvex Constraints
AISTATS 2015
Closed-form Estimators for High-dimensional Generalized Linear Models
NeurIPS 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
Feature Selection in High-Dimensional Classification
ICML 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
NeurIPS 2013
Nonparametric Sparsity and Regularization
JMLR 2013
On model selection consistency of penalized M-estimators: a geometric theory
NeurIPS 2013
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
AISTATS 2013
Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit
JMLR 2013
A Comparison of the Lasso and Marginal Regression
JMLR 2012
Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications
JMLR 2012
Gradient-based kernel method for feature extraction and variable selection
NeurIPS 2012
Marginal Regression For Multitask Learning
AISTATS 2012
Sparsistency of the Edge Lasso over Graphs
AISTATS 2012
Variable Selection for Gaussian Graphical Models
AISTATS 2012
Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality
JMLR 2012
Efficient variable selection in support vector machines via the alternating direction method of multipliers
AISTATS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning
NeurIPS 2011
Group Orthogonal Matching Pursuit for Logistic Regression
AISTATS 2011
Structured Variable Selection with Sparsity-Inducing Norms
JMLR 2011
Tight conditions for consistent variable selection in high dimensional nonparametric regression
COLT 2011