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Variable Selection

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Showing 326–350 of 566 papers

TitleStatusHype
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
Solving Mixed Integer Programs Using Neural Networks—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
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