Feature Selection

MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery IJCAI 2025 MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts EMNLP 2025 Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract) AAAI 2025 Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning IJCAI 2025 ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches ICCV 2025 Partial Information Decomposition for Data Interpretability and Feature Selection AISTATS 2025 Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025 Rank-one Convexification for Sparse Regression JMLR 2025 Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection AAAI 2025 Reinforcement Learning-Guided Data Selection via Redundancy Assessment ICCV 2025 Reliable and Scalable Variable Importance Estimation via Warm-start and Early Stopping AISTATS 2025 Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data JMLR 2025 Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation AISTATS 2025 Statistical Test for Auto Feature Engineering by Selective Inference AISTATS 2025 Tab-Shapley: Identifying Top-k Tabular Data Quality Insights AAAI 2025 TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation AAAI 2025 TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability EMNLP 2025 Transformer Learns Optimal Variable Selection in Group-Sparse Classification ICLR 2025 Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection AAAI 2025 Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing AAAI 2025 A Novel Evolutionary Multitasking Feature Selection Approach for Genomic Data Classification ACML 2024 Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles AAAI 2024 BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024 CGS-Mask: Making Time Series Predictions Intuitive for All AAAI 2024 Contributing Dimension Structure of Deep Feature for Coreset Selection AAAI 2024