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Variable Selection

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Showing 201–225 of 566 papers

TitleStatusHype
Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold RegressionCode0
AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomesCode0
Inference of Multiscale Gaussian Graphical Model—0
Yordle: An Efficient Imitation Learning for Branch and Bound—0
VC-PCR: A Prediction Method based on Supervised Variable Selection and Clustering—0
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling—0
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort studyCode1
Bayesian Approaches to Shrinkage and Sparse EstimationCode0
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection—0
Variational Bayes for high-dimensional proportional hazards models with applications within gene expressionCode0
Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction—0
Trading with the Momentum Transformer: An Intelligent and Interpretable ArchitectureCode1
Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic NetCode0
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms—0
A Fast Non-parametric Approach for Local Causal Structure Learning—0
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian ProcessesCode0
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends—0
Semiparametric discrete data regression with Monte Carlo inference and predictionCode0
abess: A Fast Best Subset Selection Library in Python and RCode1
Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling—0
The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control—0
Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant—0
Provable Identifiability of ReLU Neural Networks via Lasso Regularization—0
A Comparison of Variable Selection Methods for Blockwise Diagonal Designs—0
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional dataCode0
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