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variable selection

146 papers

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Co-occurring keywords

feature selection (649) high-dimensional regression (142) sparse regression (175) high-dimensional datum (157) false discovery rate (75) convex optimization (1320) bayesian inference (1904) group lasso (64) high-dimensional statistics (145) model selection (454)

Papers

False Discovery Proportion control for aggregated Knockoffs NIPS 2023
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation ICML 2023
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NIPS 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
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models AISTATS 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022
abess: A Fast Best-Subset Selection Library in Python and R JMLR 2022
Additive Nonlinear Quantile Regression in Ultra-high Dimension JMLR 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NIPS 2022
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension NIPS 2022
Sufficient reductions in regression with mixed predictors JMLR 2022
Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022
Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion NIPS 2022
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon AISTATS 2021
Post-selection inference with HSIC-Lasso ICML 2021
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives JMLR 2021
Ordering-Based Causal Discovery with Reinforcement Learning IJCAI 2021
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications AISTATS 2021
Toward Optimal Solution for the Context-Attentive Bandit Problem IJCAI 2021
CONTRA: Contrarian statistics for controlled variable selection AISTATS 2021
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model JMLR 2021
Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021
Nonparametric Variable Screening with Optimal Decision Stumps AISTATS 2021
Stable Learning via Sample Reweighting AAAI 2020