decision rule

General Bayesian Policy Learning UAI 2026 NCL-UoR at SemEval-2026 Task 5: Embedding-Based Methods, Fine-Tuning, and LLMs for Word Sense Plausibility Rating SemEval 2026 A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection EMNLP 2025 Generalizing Constraint Models in Constraint Acquisition AAAI 2025 Logic-Logit: A Logic-Based Approach to Choice Modeling ICLR 2025 Generalized Expected Utility as a Universal Decision Rule – A Step Forward UAI 2024 Neural Collapse To Multiple Centers For Imbalanced Data NeurIPS 2024 Compressed Rule Ensemble Learning AISTATS 2022 Information Discrepancy in Strategic Learning ICML 2022 Global explanations with decision rules: a co-learning approach UAI 2021 Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach NeurIPS 2021 Provable Guarantees on the Robustness of Decision Rules to Causal Interventions IJCAI 2021 Simultaneous Neural Machine Translation with Constituent Label Prediction EMNLP 2021 Causal Strategic Linear Regression ICML 2020 Deep Neural Networks Constrained by Decision Rules AAAI 2019 Gaining Free or Low-Cost Interpretability with Interpretable Partial Substitute ICML 2019 Boolean Decision Rules via Column Generation NeurIPS 2018 Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NeurIPS 2015 Multi-Target Regression with Rule Ensembles JMLR 2012 Optimal ROC Curve for a Combination of Classifiers NeurIPS 2007 Chained Boosting NeurIPS 2006