feature selection

Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration AAAI 2021 Learning General Planning Policies from Small Examples Without Supervision AAAI 2021 Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach NeurIPS 2021 Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives JMLR 2021 Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization AISTATS 2021 Net-DNF: Effective Deep Modeling of Tabular Data ICLR 2021 Neural Feature Search for RGB-Infrared Person Re-Identification CVPR 2021 OffTamil@DravideanLangTech-EASL2021: Offensive Language Identification in Tamil Text EACL 2021 Parametric Programming Approach for More Powerful and General Lasso Selective Inference AISTATS 2021 Partial Feature Selection and Alignment for Multi-Source Domain Adaptation CVPR 2021 Post-selection inference with HSIC-Lasso ICML 2021 Privacy-Preserving Feature Selection with Secure Multiparty Computation ICML 2021 Probabilistic Sufficient Explanations IJCAI 2021 RaSE: Random Subspace Ensemble Classification JMLR 2021 Regression Analysis of Lexical and Morpho-Syntactic Properties of Kiezdeutsch EACL 2021 Sparse Bayesian Learning via Stepwise Regression ICML 2021 Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization ICLR 2021 Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021 Sparsity-Agnostic Lasso Bandit ICML 2021 Submodular Span, with Applications to Conditional Data Summarization AAAI 2021 TabNet: Attentive Interpretable Tabular Learning AAAI 2021 UMEC: Unified model and embedding compression for efficient recommendation systems ICLR 2021 Understanding Interlocking Dynamics of Cooperative Rationalization NeurIPS 2021 Adaptive Feature Selection for End-to-End Speech Translation EMNLP 2020 A determinantal point process for column subset selection JMLR 2020