decision list

Privately Learning Decision Lists and a Differentially Private Winnow ALT 2026 A General Theoretical Framework for Learning Smallest Interpretable Models AAAI 2024 Partially Interpretable Models with Guarantees on Coverage and Accuracy ALT 2024 Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks IJCAI 2022 Contextual explanation rules for neural clinical classifiers NAACL 2021 On the Hardness of Robust Classification JMLR 2021 Reasoning-Based Learning of Interpretable ML Models IJCAI 2021 An Optimization Approach to Learning Falling Rule Lists AISTATS 2018 Learning Cost-Effective and Interpretable Treatment Regimes AISTATS 2017 Attribute-Efficient Learning andWeight-Degree Tradeoffs for Polynomial Threshold Functions COLT 2012 Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NeurIPS 2006 Toward Attribute Efficient Learning of Decision Lists and Parities JMLR 2006 Learning with Decision Lists of Data-Dependent Features JMLR 2005 On Online Learning of Decision Lists JMLR 2002