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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

Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization AAAI 2026
Integral-based Knockoffs Inference for Partially Linear Models AAAI 2026
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery AAAI 2025
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection JMLR 2025
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects AAAI 2025
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model JMLR 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning IJCAI 2024
On Sufficient Graphical Models JMLR 2024
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024
Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024
More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization JMLR 2024
ENNS: Variable Selection, Regression, Classification, and Deep Neural Network for High-Dimensional Data JMLR 2024
Transfer learning for tensor Gaussian graphical models JMLR 2024
The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time JMLR 2023
A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection JMLR 2023
Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data AAAI 2023
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation ICML 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
Online Linearized LASSO AISTATS 2023
Tilted Sparse Additive Models ICML 2023
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance JMLR 2023
Sparse GCA and Thresholded Gradient Descent JMLR 2023
False Discovery Proportion control for aggregated Knockoffs NIPS 2023