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Variable Selection

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TitleStatusHype
Recovery of Linear Components: Reduced Complexity Autoencoder Designs—0
Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology—0
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery—0
Persistent Reductions in Regularized Loss Minimization for Variable Selection—0
A Self-Penalizing Objective Function for Scalable Interaction Detection—0
Efficient Variational Inference for Sparse Deep Learning with Theoretical GuaranteeCode0
Precision-Recall Curve (PRC) Classification Trees—0
Nonparametric Variable Screening with Optimal Decision Stumps—0
Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model—0
Smoothly Adaptively Centered Ridge Estimator—0
Post-selection inference with HSIC-LassoCode1
Latent Network Estimation and Variable Selection for Compositional Data via Variational EMCode0
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors—0
Reversible Jump PDMP Samplers for Variable SelectionCode0
Flexible mean field variational inference using mixtures of non-overlapping exponential familiesCode0
The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data—0
Improving Network Slimming with Nonconvex RegularizationCode0
When to Impute? Imputation before and during cross-validationCode0
Dynamic sparsity on dynamic regression models—0
Selective Cascade of Residual ExtraTrees—0
The Illusion of the Illusion of Sparsity: An exercise in prior sensitivityCode0
Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex PenaltiesCode0
ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso—0
Regularization Approach for Network Modeling of German Power Derivative Market—0
Expectation propagation on the diluted Bayesian classifier—0
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