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Variable Selection

Papers

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Showing 451–500 of 566 papers

TitleStatusHype
Robust Lasso-Zero for sparse corruption and model selection with missing covariatesCode0
Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear RegressionCode0
Bayesian Approaches to Shrinkage and Sparse EstimationCode0
Orthogonal Matching Pursuit for Text ClassificationCode0
Machine learning in policy evaluation: new tools for causal inferenceCode0
A sparse negative binomial mixture model for clustering RNA-seq count dataCode0
Bolasso: model consistent Lasso estimation through the bootstrapCode0
Boosting Joint Models for Longitudinal and Time-to-Event DataCode0
Outcome-adaptive lasso: variable selection for causal inferenceCode0
Flexible mean field variational inference using mixtures of non-overlapping exponential familiesCode0
Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic NetCode0
Flexible variable selection in the presence of missing dataCode0
Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!Code0
Causal Feature Learning in the Social SciencesCode0
Sparse online variational Bayesian regressionCode0
Scalable Gaussian-process regression and variable selection using Vecchia approximationsCode0
A Splicing Approach to Best Subset of Groups SelectionCode0
FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated FeaturesCode0
Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner LimitCode0
Scalable Importance Tempering and Bayesian Variable SelectionCode0
Co-data Learning for Bayesian Additive Regression TreesCode0
Combinatorial Bayesian Optimization using the Graph Cartesian ProductCode0
Comorbid anxiety predicts lower odds of depression improvement during smartphone-delivered psychotherapyCode0
Accuracy and stability of solar variable selection comparison under complicated dependence structuresCode0
metboost: Exploratory regression analysis with hierarchically clustered dataCode0
Computationally Efficient High-Dimensional Bayesian Optimization via Variable SelectionCode0
Scalable Spike-and-SlabCode0
Scalable variable selection for two-view learning tasks with projection operatorsCode0
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic PerspectiveCode0
Sparse quadratic classification rules via linear dimension reductionCode0
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large pCode0
Semiparametric discrete data regression with Monte Carlo inference and predictionCode0
Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold OptimizationCode0
Consistent Sparse Deep Learning: Theory and ComputationCode0
Granger Causality Testing in High-Dimensional VARs: a Post-Double-Selection ProcedureCode0
System Identification with Copula EntropyCode0
Lazy FSCA for Unsupervised Variable SelectionCode0
Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold RegressionCode0
BART: Bayesian additive regression treesCode0
Copula Entropy based Variable Selection for Survival AnalysisCode0
Predictive Analytics of Varieties of PotatoesCode0
Grouped Variable Selection for Generalized Eigenvalue ProblemsCode0
Covariance and PCA for Categorical VariablesCode0
Grouped Variable Selection with Discrete Optimization: Computational and Statistical PerspectivesCode0
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic netCode0
Cross-Validation with ConfidenceCode0
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical DataCode0
Sparsifying Bayesian neural networks with latent binary variables and normalizing flowsCode0
Multiple Testing and Variable Selection along the path of the Least Angle RegressionCode0
Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approachCode0
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