Feature Selection

Adaptive Forward Stepwise: A Method for High Sparsity Regression JMLR 2026 Causal Importance for Physics-Informed Machine Learning CLeaR 2026 Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning AAAI 2026 Integral-based Knockoffs Inference for Partially Linear Models AAAI 2026 Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval ACL 2026 Provable Guarantees For Robust Feature Selection in Sparse Linear Models in High-Dimensions UAI 2026 Redundancy-optimized Multi-head Attention Networks for Multi-view Multi-label Feature Selection AAAI 2026 Separating Oblivious and Adaptive Models of Variable Selection (Extended Abstract) COLT 2026 Sparse Additive Model Pruning for Order-Based Causal Structure Learning AAAI 2026 Unsupervised Feature Selection via Nonnegative Orthogonal Constrained Regularized Minimization JMLR 2026 Adaptive Dataset Quantization AAAI 2025 Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection ACL 2025 Classification of High-dimensional Time Series in Spectral Domain Using Explainable Features with Applications to Neuroimaging Data AISTATS 2025 Computationally Efficient Methods for Invariant Feature Selection with Sparsity UAI 2025 CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025 Context Minimization for Resource-Constrained Text Classification: Optimizing Performance-Efficiency Trade-offs through Linguistic Features EMNLP 2025 Dimension Reduction for Symbolic Regression AAAI 2025 Disentangling the Roles of Representation and Selection in Data Pruning ACL 2025 Feature Selection for Latent Factor Models CVPR 2025 Federated Causally Invariant Feature Learning AAAI 2025 Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method IJCAI 2025 Information-Theoretic Measures on Lattices for Higher-Order Interactions AISTATS 2025 InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025 Less is More: The Effectiveness of Compact Typological Language Representations EMNLP 2025 Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting ICLR 2025