SOTAVerified

Variable Selection

Papers

Showing 1–50 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
Practically Effective Adjustment Variable Selection in Causal Inference—0
Heteroscedastic Double Bayesian Elastic Net—0
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection—0
Consistent support recovery for high-dimensional diffusions—0
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age—0
Improved joint modelling of breast cancer radiomics features and hazard by image registration aided longitudinal CT data—0
Mathematics of Digital Twins and Transfer Learning for PDE Models—0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
A Graphical Approach to State Variable Selection in Off-policy Learning—0
Fréchet regression with implicit denoising and multicollinearity reduction—0
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects—0
Variable Selection for Comparing High-dimensional Time-Series Data—0
Proximal Iteration for Nonlinear Adaptive LassoCode0
Optimal Particle-based Approximation of Discrete Distributions (OPAD)—0
Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty—0
On the Selection Stability of Stability Selection and Its ApplicationsCode0
Variable Selection in Convex Piecewise Linear Regression—0
Statistical Inference in Classification of High-dimensional Gaussian Mixture—0
Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences—0
Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors—0
Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach—0
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large pCode0
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data—0
Resource-Constrained Heuristic for Max-SAT—0
Generalized Sparse Additive Model with Unknown Link Function—0
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