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Variable Selection

Papers

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Showing 501–525 of 566 papers

TitleStatusHype
Inference for L_2-BoostingCode0
Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational PerspectivesCode0
Sparsistent Model DiscoveryCode0
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regressionCode0
Deep KnockoffsCode0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTMCode0
Semi-Analytic Resampling in LassoCode0
Deep neural networks with controlled variable selection for the identification of putative causal genetic variantsCode0
Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial predictionCode0
High-dimensional forecasting with known knowns and known unknownsCode0
Variable Selection and Task Grouping for Multi-Task LearningCode0
Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck modelCode0
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and rankingCode0
Near-optimal multiple testing in Bayesian linear models with finite-sample FDR controlCode0
Variable Selection with Copula EntropyCode0
AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data AlignmentCode0
Variable selection with false discovery rate control in deep neural networksCode0
Accurate Dictionary Learning with Direct Sparsity ControlCode0
Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection ConstraintsCode0
DOLDA - a regularized supervised topic model for high-dimensional multi-class regressionCode0
Stability Selection via Variable DecorrelationCode0
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine LearningCode0
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) dataCode0
Improving Network Slimming with Nonconvex RegularizationCode0
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