variable selection

Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023 False Discovery Proportion control for aggregated Knockoffs NeurIPS 2023 Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation ICML 2023 Online Linearized LASSO AISTATS 2023 Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance JMLR 2023 Sparse Deep Learning for Time Series Data: Theory and Applications NeurIPS 2023 Sparse GCA and Thresholded Gradient Descent JMLR 2023 Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data AAAI 2023 The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time JMLR 2023 Tilted Sparse Additive Models ICML 2023 abess: A Fast Best-Subset Selection Library in Python and R JMLR 2022 A Comparison of Hamming Errors of Representative Variable Selection Methods ICLR 2022 A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension NeurIPS 2022 Additive Nonlinear Quantile Regression in Ultra-high Dimension JMLR 2022 Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022 Kernel Partial Correlation Coefficient --- a Measure of Conditional Dependence JMLR 2022 Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion NeurIPS 2022 Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NeurIPS 2022 Projection Predictive Inference for Generalized Linear and Additive Multilevel Models AISTATS 2022 Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022 Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022 Sufficient reductions in regression with mixed predictors JMLR 2022 Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NeurIPS 2022 CONTRA: Contrarian statistics for controlled variable selection AISTATS 2021 Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021