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Variable Selection

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TitleStatusHype
Near-optimal multiple testing in Bayesian linear models with finite-sample FDR controlCode0
Improving the Predictive Performances of k Nearest Neighbors Learning by Efficient Variable Selection—0
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing—0
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning—0
Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm—0
Copula Entropy based Variable Selection for Survival AnalysisCode0
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data—0
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning—0
Sparse Bayesian State-Space and Time-Varying Parameter Models—0
Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates—0
A Statistical-Modelling Approach to Feedforward Neural Network Model Selection—0
Conditional Variable Selection for Intelligent Test—0
Lookback for Learning to Branch—0
Federated Data Analytics: A Study on Linear Models—0
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch—0
Sparse-group boosting -- Unbiased group and variable selectionCode0
Robust Knockoffs for Controlling False Discoveries With an Application to Bond Recovery Rates—0
Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!Code0
Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes—0
ecpc: An R-package for generic co-data models for high-dimensional prediction—0
Determination of class-specific variables in nonparametric multiple-class classification—0
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis—0
Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection—0
Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models—0
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees—0
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