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Variable Selection

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Showing 51–100 of 566 papers

TitleStatusHype
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
The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research—0
Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop—0
Fractional Naive Bayes (FNB): non-convex optimization for a parsimonious weighted selective naive Bayes classifier—0
Comorbid anxiety predicts lower odds of depression improvement during smartphone-delivered psychotherapyCode0
Model-independent variable selection via the rule-based variable priority—0
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning—0
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes—0
Credit Ratings: Heterogeneous Effect on Capital Structure—0
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression—0
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical dataCode0
International Trade Flow Prediction with Bilateral Trade Provisions—0
Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R ImplementationCode0
Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc)—0
Hybrid Reinforcement Learning Framework for Mixed-Variable Problems—0
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection—0
Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution—0
Probabilistic forecasting of power system imbalance using neural network-based ensembles—0
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference—0
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTMCode0
Predictive Analytics of Varieties of PotatoesCode0
Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior—0
Statistical Mechanics of Dynamical System Identification—0
A network-constrain Weibull AFT model for biomarkers discovery—0
Penalized Generative Variable Selection—0
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models—0
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection—0
Data-driven model selection within the matrix completion method for causal panel data models—0
Variable selection for Naïve Bayes classification—0
Asymptotic Behavior of Adversarial Training Estimator under _-Perturbation—0
High-dimensional forecasting with known knowns and known unknownsCode0
Information-Theoretic State Variable Selection for Reinforcement LearningCode0
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening—0
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