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Variable Selection

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Showing 301–350 of 566 papers

TitleStatusHype
Rademacher upper bounds for cross-validation errors with an application to the lasso—0
Random Forest Variable Importance-based Selection Algorithm in Class Imbalance Problem—0
Randomized maximum-contrast selection: subagging for large-scale regression—0
Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree—0
Recovery of Linear Components: Reduced Complexity Autoencoder Designs—0
Regularization Approach for Network Modeling of German Power Derivative Market—0
Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection—0
Regularized Modal Regression with Applications in Cognitive Impairment Prediction—0
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection—0
Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm—0
Replicated Vector Approximate Message Passing For Resampling Problem—0
Resource-Constrained Heuristic for Max-SAT—0
Ridge partial correlation screening for ultrahigh-dimensional data—0
Risk factor identification for incident heart failure using neural network distillation and variable selection—0
Robust and Parallel Bayesian Model Selection—0
Robust Grouped Variable Selection Using Distributionally Robust Optimization—0
Robust Knockoffs for Controlling False Discoveries With an Application to Bond Recovery Rates—0
Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors—0
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond—0
Efficient kernel-based variable selection with sparsistency—0
A Self-Penalizing Objective Function for Scalable Interaction Detection—0
Sélection de variables par le GLM-Lasso pour la prédiction du risque palustre—0
Selection of training populations (and other subset selection problems) with an accelerated genetic algorithm (STPGA: An R-package for selection of training populations with a genetic algorithm)—0
Selective Cascade of Residual ExtraTrees—0
Selective Factor Extraction in High Dimensions—0
Semi-analytic approximate stability selection for correlated data in generalized linear models—0
Semiparametric count data regression for self-reported mental health—0
Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network—0
Sequential Advantage Selection for Optimal Treatment Regimes—0
Sequential Knockoffs for Variable Selection in Reinforcement Learning—0
Simultaneous sparse estimation of canonical vectors in the p>>N setting—0
Slow Kill for Big Data Learning—0
Small Area Estimation with Random Forests and the LASSO—0
Smoothly Adaptively Centered Ridge Estimator—0
Solar: L_0 solution path averaging for fast and accurate variable selection in high-dimensional data—0
Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop—0
Sparse additive Gaussian process with soft interactions—0
Sparse Additive Model using Symmetric Nonnegative Definite Smoothers—0
Sparse Bayesian State-Space and Time-Varying Parameter Models—0
Sparse Bayesian Unsupervised Learning—0
Sparse Deep Learning for Time Series Data: Theory and Applications—0
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression—0
Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives—0
Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm—0
Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm—0
Sparse inference of the drift of a high-dimensional Ornstein-Uhlenbeck process—0
Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines—0
Sparse Learning for Variable Selection with Structures and Nonlinearities—0
Sparse PCA with False Discovery Rate Controlled Variable Selection—0
Sparse Quantile Huber Regression for Efficient and Robust Estimation—0
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