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Variable Selection

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TitleStatusHype
Simultaneous sparse estimation of canonical vectors in the p>>N setting—0
Sparse Quantile Huber Regression for Efficient and Robust Estimation—0
Feature and Variable Selection in Classification—0
Sparse Bayesian Unsupervised Learning—0
Monte Carlo Simulation for Lasso-Type Problems by Estimator Augmentation—0
Inference in High Dimensions with the Penalized Score Test—0
Oracle Inequalities for Convex Loss Functions with Non-Linear Targets—0
bartMachine: Machine Learning with Bayesian Additive Regression Trees—0
Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset—0
High dimensional Sparse Gaussian Graphical Mixture Model—0
Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models—0
Optimal Feature Selection in High-Dimensional Discriminant Analysis—0
Randomized maximum-contrast selection: subagging for large-scale regression—0
Mean field variational Bayesian inference for support vector machine classification—0
A Rank Minrelation - Majrelation Coefficient—0
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension—0
Bayesian Compressed Regression—0
Gradient-based kernel method for feature extraction and variable selection—0
APPLE: Approximate Path for Penalized Likelihood Estimators—0
Mixture model for designs in high dimensional regression and the LASSO—0
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors—0
Consistent selection of tuning parameters via variable selection stability—0
High-Dimensional Screening Using Multiple Grouping of Variables—0
Structured Estimation in Nonparameteric Cox Model—0
Multivariate Bernoulli distribution—0
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