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Variable Selection

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TitleStatusHype
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening—0
False Discovery Rate Control via Debiased Lasso—0
Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis—0
Can Machine Learning discover the determining factors in participation in insurance schemes? A comparative analysis—0
An ADMM approach for multi-response regression with overlapping groups and interaction effects—0
Counterfactual Generation with Knockoffs—0
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data—0
Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc)—0
Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation—0
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered l1-Norm—0
Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes—0
Feature and Variable Selection in Classification—0
Bayesian forecast combination using time-varying features—0
Feature selection in functional data classification with recursive maxima hunting—0
Feature Selection through Minimization of the VC dimension—0
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes—0
Federated Data Analytics: A Study on Linear Models—0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
A Multi-objective Exploratory Procedure for Regression Model Selection—0
Flexible co-data learning for high-dimensional prediction—0
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups—0
Flexible shrinkage in high-dimensional Bayesian spatial autoregressive models—0
Fréchet regression with implicit denoising and multicollinearity reduction—0
A convex formulation for high-dimensional sparse sliced inverse regression—0
Correlation scenarios and correlation stress testing—0
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