Decision Tree

Approximation-Free Differentiable Oblique Decision Trees JMLR 2026 Constrained Random Forest for Domain-Generalizable Classification UAI 2026 Deriving Character Logic from Storyline as Codified Decision Trees ACL 2026 SPLIDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate NSDI 2026 Structural Drift Repair in Decision Trees via Bayesian Model-Based Diagnosis UAI 2026 Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation AISTATS 2025 Using Submodular Optimization to Approximate Minimum-Size Abductive Path Explanations for Tree-Based Models UAI 2025 Adaptive Softmax Trees for Many-Class Classification UAI 2024 A Theory of Interpretable Approximations COLT 2024 Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret AAAI 2024 Fast Hyperboloid Decision Tree Algorithms ICLR 2024 Generative Forests NeurIPS 2024 Generative Model for Decision Trees AAAI 2024 Learning Accurate and Interpretable Decision Trees UAI 2024 Online Learning of Decision Trees with Thompson Sampling AISTATS 2024 On the Power of Decision Trees in Auto-Regressive Language Modeling NeurIPS 2024 RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space NeurIPS 2024 Superconstant Inapproximability of Decision Tree Learning COLT 2024 Average Sensitivity of Decision Tree Learning ICLR 2023 Confidential-PROFITT: Confidential PROof of FaIr Training of Trees ICLR 2023 Scalable Optimal Multiway-Split Decision Trees with Constraints AAAI 2023 The Influence of Dimensions on the Complexity of Computing Decision Trees AAAI 2023 BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression ICML 2022 Fair and Optimal Decision Trees: A Dynamic Programming Approach NeurIPS 2022 On Computing Probabilistic Explanations for Decision Trees NeurIPS 2022