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Variable Selection

Papers

Showing 1–25 of 566 papers

TitleStatusHype
Heterogeneous Exposures to Systematic and Idiosyncratic Risk across Crypto Assets: A Divide-and-Conquer Approach—0
On the ability of Deep Neural Networks to Learn Granger Causality in Multi-Variate Time Series Data—0
Bayesian Hybrid Machine Learning of Gallstone Risk—0
Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances—0
On feature selection in double-imbalanced data settings: a Random Forest approach—0
Knockoffs Inference under Privacy Constraints—0
Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approachCode0
Stability Selection via Variable DecorrelationCode0
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random—0
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming—0
Nonparametric learning of covariate-based Markov jump processes using RKHS techniques—0
CFD-Based Quantification of Hemodynamic Variables in Cerebral Aneurysms: How Hemodynamics Shape Aneurysm Fate—0
Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series—0
Ridge partial correlation screening for ultrahigh-dimensional data—0
Enhancing Variable Selection in Large-scale Logistic Regression: Leveraging Manual Labeling with Beneficial Noise—0
Transformer Learns Optimal Variable Selection in Group-Sparse Classification—0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
Causal Feature Learning in the Social SciencesCode0
Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identificationCode0
Spike-and-Slab Posterior Sampling in High Dimensions—0
Structural breaks detection and variable selection in dynamic linear regression via the Iterative Fused LASSO in high dimension—0
AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data AlignmentCode0
Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input—0
Variational empirical Bayes variable selection in high-dimensional logistic regression—0
A Differentiable Rank-Based Objective For Better Feature Learning—0
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