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Variable Selection

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Showing 251–300 of 566 papers

TitleStatusHype
Correlation scenarios and correlation stress testing—0
Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear RegressionCode0
The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear TimeCode0
Sparsistent Model DiscoveryCode0
Semiparametric count data regression for self-reported mental health—0
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival dataCode0
Bayesian Boosting for Linear Mixed Models—0
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond—0
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection—0
Grouped Variable Selection for Generalized Eigenvalue ProblemsCode0
Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner LimitCode0
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems—0
Face Attributes as Cues for Deep Face Recognition Understanding—0
Ordering-Based Causal Discovery with Reinforcement Learning—0
A Splicing Approach to Best Subset of Groups SelectionCode0
Bayesian subset selection and variable importance for interpretable prediction and classification—0
Grouped Variable Selection with Discrete Optimization: Computational and Statistical PerspectivesCode0
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes—0
Variable selection with missing data in both covariates and outcomes: Imputation and machine learningCode0
A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors—0
Lazy FSCA for Unsupervised Variable SelectionCode0
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA—0
Consistent Sparse Deep Learning: Theory and ComputationCode0
Sparse online variational Bayesian regressionCode0
Risk factor identification for incident heart failure using neural network distillation and variable selection—0
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects EstimationCode0
Unobserved classes and extra variables in high-dimensional discriminant analysis—0
Counterfactual Generation with Knockoffs—0
Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach—0
Statistical Methods for cis-Mendelian Randomization with Two-sample Summary-level Data—0
On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques—0
Solving Mixed Integer Programs Using Neural Networks—0
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
Precision-Recall Curve (PRC) Classification Trees—0
Efficient Variational Inference for Sparse Deep Learning with Theoretical GuaranteeCode0
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
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
The Illusion of the Illusion of Sparsity: An exercise in prior sensitivityCode0
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