feature selection

Generalization error bounds for multiclass sparse linear classifiers JMLR 2023 Heavy Sets with Applications to Interpretable Machine Learning Diagnostics AISTATS 2023 Improving Interpretability via Explicit Word Interaction Graph Layer AAAI 2023 Improving the imputation of missing data with Markov Blanket discovery ICLR 2023 Interpretability with full complexity by constraining feature information ICLR 2023 Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy NeurIPS 2023 L0Learn: A Scalable Package for Sparse Learning using L0 Regularization JMLR 2023 Learning Concise and Descriptive Attributes for Visual Recognition ICCV 2023 LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning ICML 2023 Losses over Labels: Weakly Supervised Learning via Direct Loss Construction AAAI 2023 Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps ICML 2023 On Learning Necessary and Sufficient Causal Graphs NeurIPS 2023 OpenFE: Automated Feature Generation with Expert-level Performance ICML 2023 Optimal Sparse Recovery with Decision Stumps AAAI 2023 Practical Markov Boundary Learning without Strong Assumptions AAAI 2023 Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark NeurIPS 2023 Representer Point Selection for Explaining Regularized High-dimensional Models ICML 2023 Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure NeurIPS 2023 Sequential Attention for Feature Selection ICLR 2023 Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data AAAI 2023 spred: Solving L1 Penalty with SGD ICML 2023 Statistically Valid Variable Importance Assessment through Conditional Permutations NeurIPS 2023 STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning ICCV 2023 Stepdown SLOPE for Controlled Feature Selection AAAI 2023 The Contextual Lasso: Sparse Linear Models via Deep Neural Networks NeurIPS 2023