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Variable Selection

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Showing 151–175 of 566 papers

TitleStatusHype
Variable-Complexity Weighted-Tempered Gibbs Samplers for Bayesian Variable Selection—0
Sequential Knockoffs for Variable Selection in Reinforcement Learning—0
An ADMM approach for multi-response regression with overlapping groups and interaction effects—0
A Survey of Numerical Algorithms that can Solve the Lasso Problems—0
Environment Invariant Linear Least SquaresCode0
Variable Selection for Kernel Two-Sample Tests—0
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery—0
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable SelectionCode0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug—0
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) dataCode0
Understanding Best Subset Selection: A Tale of Two C(omplex)ities—0
Bayesian Models of Functional Connectomics and Behavior—0
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization—0
Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data—0
A machine learning framework for neighbor generation in metaheuristic search—0
Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational PerspectivesCode0
Applications of Machine Learning for the Ratemaking in Agricultural Insurances—0
Can Machine Learning discover the determining factors in participation in insurance schemes? A comparative analysis—0
Stable Learning via Sparse Variable Independence—0
Variable selection for nonlinear Cox regression model via deep learning—0
Transfer learning for tensor Gaussian graphical models—0
The Best Path Algorithm automatic variables selection via High Dimensional Graphical Models—0
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier FeaturesCode0
Online Linearized LASSO—0
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