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Variable Selection

Papers

Showing 251300 of 566 papers

TitleStatusHype
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond0
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection0
Grouped Variable Selection for Generalized Eigenvalue ProblemsCode0
Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner LimitCode0
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems0
Face Attributes as Cues for Deep Face Recognition Understanding0
Ordering-Based Causal Discovery with Reinforcement Learning0
A Splicing Approach to Best Subset of Groups SelectionCode0
Bayesian subset selection and variable importance for interpretable prediction and classification0
Grouped Variable Selection with Discrete Optimization: Computational and Statistical PerspectivesCode0
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes0
Variable selection with missing data in both covariates and outcomes: Imputation and machine learningCode0
A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors0
Lazy FSCA for Unsupervised Variable SelectionCode0
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA0
Consistent Sparse Deep Learning: Theory and ComputationCode0
Sparse online variational Bayesian regressionCode0
Risk factor identification for incident heart failure using neural network distillation and variable selection0
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects EstimationCode0
Unobserved classes and extra variables in high-dimensional discriminant analysis0
Counterfactual Generation with Knockoffs0
Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach0
Statistical Methods for cis-Mendelian Randomization with Two-sample Summary-level Data0
On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques0
Solving Mixed Integer Programs Using Neural Networks0
Recovery of Linear Components: Reduced Complexity Autoencoder Designs0
Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology0
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery0
Persistent Reductions in Regularized Loss Minimization for Variable Selection0
A Self-Penalizing Objective Function for Scalable Interaction Detection0
Efficient Variational Inference for Sparse Deep Learning with Theoretical GuaranteeCode0
Precision-Recall Curve (PRC) Classification Trees0
Nonparametric Variable Screening with Optimal Decision Stumps0
Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model0
Smoothly Adaptively Centered Ridge Estimator0
Post-selection inference with HSIC-LassoCode1
Latent Network Estimation and Variable Selection for Compositional Data via Variational EMCode0
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors0
Reversible Jump PDMP Samplers for Variable SelectionCode0
Flexible mean field variational inference using mixtures of non-overlapping exponential familiesCode0
The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data0
Improving Network Slimming with Nonconvex RegularizationCode0
When to Impute? Imputation before and during cross-validationCode0
Dynamic sparsity on dynamic regression models0
Selective Cascade of Residual ExtraTrees0
The Illusion of the Illusion of Sparsity: An exercise in prior sensitivityCode0
Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex PenaltiesCode0
ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso0
Regularization Approach for Network Modeling of German Power Derivative Market0
Expectation propagation on the diluted Bayesian classifier0
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