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Variable Selection

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Showing 376–400 of 566 papers

TitleStatusHype
INVASE: Instance-wise Variable Selection using Neural NetworksCode0
Variational Bayes for high-dimensional linear regression with sparse priors—0
Sparse Learning for Variable Selection with Structures and Nonlinearities—0
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification—0
An Integrated Panel Data Approach to Modelling Economic Growth—0
An Efficient Augmented Lagrangian Based Method for Constrained Lasso—0
Machine learning in policy evaluation: new tools for causal inferenceCode0
Granger Causality Testing in High-Dimensional VARs: a Post-Double-Selection ProcedureCode0
An information criterion for auxiliary variable selection in incomplete data analysis—0
Learning Hierarchical Interactions at Scale: A Convex Optimization ApproachCode0
Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference—0
Combinatorial Bayesian Optimization using the Graph Cartesian ProductCode0
Active learning for binary classification with variable selection—0
Supervised Learning for Multi-Block Incomplete Data—0
Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership—0
Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation—0
Deep KnockoffsCode0
Global sensitivity analysis for optimization with variable selection—0
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models—0
On LASSO for Predictive Regression—0
Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections—0
Accurate Dictionary Learning with Direct Sparsity ControlCode0
A convex formulation for high-dimensional sparse sliced inverse regression—0
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines—0
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties—0
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