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Variable Selection

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TitleStatusHype
Causal nearest neighbor rules for optimal treatment regimes—0
A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics—0
Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making—0
A Comparison of Variable Selection Methods for Blockwise Diagonal Designs—0
Catching Change-points with Lasso—0
Can Machine Learning discover the determining factors in participation in insurance schemes? A comparative analysis—0
Breaking the Curse of Dimensionality with Convex Neural Networks—0
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning—0
A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection—0
A Graphical Approach to State Variable Selection in Off-policy Learning—0
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends—0
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning—0
An update on statistical boosting in biomedicine—0
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning—0
Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data—0
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning—0
Expectation propagation on the diluted Bayesian classifier—0
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference—0
A novel nonconvex, smooth-at-origin penalty for statistical learning—0
A gradient-based variable selection for binary classification in reproducing kernel Hilbert space—0
A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife—0
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling—0
Extensions of stability selection using subsamples of observations and covariates—0
Face Attributes as Cues for Deep Face Recognition Understanding—0
ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso—0
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