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Variable Selection

Papers

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Showing 501–550 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
Iteratively Reweighted _1-Penalized Robust RegressionCode0
TreeDQN: Learning to minimize Branch-and-Bound treeCode0
Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex PenaltiesCode0
Effect of hyperparameters on variable selection in random forestsCode0
Proximal Iteration for Nonlinear Adaptive LassoCode0
Variable Selection in High Dimensional Linear Regressions with Parameter InstabilityCode0
Improving SAT Solvers via Blocked Clause DecompositionCode0
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal PosteriorsCode0
Inference for High Dimensional Censored Quantile RegressionCode0
Efficient Variational Inference for Sparse Deep Learning with Theoretical GuaranteeCode0
Variable selection with missing data in both covariates and outcomes: Imputation and machine learningCode0
Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndromeCode0
The Illusion of the Illusion of Sparsity: An exercise in prior sensitivityCode0
Information-Theoretic State Variable Selection for Reinforcement LearningCode0
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional dataCode0
Environment Invariant Linear Least SquaresCode0
Instrument variable detection with graph learning : an application to high dimensional GIS-census data for house pricingCode0
A deep learning pipeline for cross-sectional and longitudinal multiview data integrationCode0
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distributionCode0
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects EstimationCode0
Interpretable Classification of Bacterial Raman Spectra with Knockoff WaveletsCode0
Evolutionary shift detection with ensemble variable selectionCode0
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival dataCode0
Variational Bayes for high-dimensional proportional hazards models with applications within gene expressionCode0
Exclusive Group Lasso for Structured Variable SelectionCode0
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