Decision Trees

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3 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Decision Trees.

Period ending 2026-09-07

1 new paper

A weekly snapshot of new work published in Decision Trees.

52 papers

Latest in Decision Trees

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  1. Learned Look-Ahead Splitting Rule for CART

    Sep 14, 2026Andrew Gao, Tianlin Liu, Ruichen Han +1Decision TreesSplit Learning

  2. Literati: Towards Anytime Optimal Shape Generalized Trees via AO*

    Sep 8, 2026Nakul Upadhya, Eldan CohenDecision TreesLiterature

  3. Learning Sparse Decision Trees via Transformer Variational Auto-Encoders

    Sep 1, 2026Giacomo Fidone, Alessio Cascione, Riccardo GuidottiDecision TreesSparsity

  4. Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach

    Aug 20, 2026Amrita Shaw, Chandrasekar S. N., Sai Muthukumar V. +2Non-Destructive Frying Oil Oxidation AssessmentRaman

  5. Backward Compatibility in Tree-Based Explanations and Enhanced CART Algorithm

    Aug 9, 2026Hirofumi SuzukiDecision TreesExplanations

  6. Integrating spectral and morphological plant features with decision-tree models for early-season cotton biomass and nitrogen status estimation from multi-year UAV data

    Aug 7, 2026Vaishali Swaminathan, Nithya Rajan, J Alex Thomasson +4Above-Ground BiomassUsda Cropland Data Layer

  7. ArborEnum: Decision Tree Rashomon Sets over Continuous Features

    Aug 5, 2026Zakk Heile, Hayden McTavish, Margo Seltzer +1Decision TreesTrees

  8. Double Descent in Gradient Boosting Decision Trees via Split-Candidate Scaling

    Aug 4, 2026Ryuichi KanohGradient Boosted TreeDecision Trees

  9. Search Strategies for Optimal Classification and Regression Trees

    Jul 30, 2026Jacobus G. M. van der Linden, Mim van den Bos, Emir DemirovićDecision TreesRandom Forest

  10. Expanding Data-Agnostic Pivotal Instances Selection Models with Proximity Trees and Ensemble Learning

    Jul 29, 2026Alessio Cascione, Mattia Setzu, Cristiano Landi +2Interpretable Machine LearningDecision Trees

  11. dtControl2+\varepsilon: Trading Optimality for Explainability in MDPs via Decision Trees

    Jul 28, 2026Tereza Kinská, Jan Křetínský, Tobias Meggendorfer +2Decision TreesMarkov Decision Processes

  12. Decision trees, Frobenius traces, and Weierstrass coefficients of elliptic curves

    Jul 27, 2026Barinder S. Banwait, Xiaoyu Huang, Kyu-Hwan Lee +3TracesDecision Trees

  13. Relevance-Aware Rule: Structural Deletion of Irrelevant Conditions in Decision Trees

    Jul 15, 2026Jung-Sik Hong, Jeongeon Lee, Min Kyu Sim +1Decision TreesRelevance

  14. Constraint-Aware Hierarchical Search for Regulation-Driven Fine-Grained Classification

    Jul 12, 2026Siyu Wang, Wei Tan, Lulu ChenRegulationText Classifier

  15. ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies

    Jul 8, 2026Ignacio D. Lopez-Miguel, Ezio Bartocci, Thomas Eiter +1High-Dimensional Action SpacesDecision Trees

  16. ExplAIner: A Declarative Query Language for Explaining Classification Models

    Jul 7, 2026Marcelo Arenas, Pablo Barceló, Diego Bustamante +3XaiModel Interpretability Methods

  17. Algebraic Model Counting for Global Analysis of Optimal Decision Trees

    Jul 2, 2026Hiroki ArimuraDecision TreesModel Selection

  18. Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again

    Jun 30, 2026Zakk Heile, Hayden McTavish, Margo Seltzer +1Decision TreesInterpretable Machine Learning

  19. Gradient boosting with vector-valued leafs

    Jun 28, 2026David CortesGradient Boosted TreeDecision Trees

  20. Cost-Optimal Decision Diagrams for Stochastic Boolean Function Evaluation

    Jun 23, 2026Xia Zong, Tuomo Lehtonen, Jussi RintanenDecision TreesHeuristics

  21. Kernel of Partition Paths: A Unified Representation for Tree Ensembles

    Jun 17, 2026Nicolas MahlerDecision TreesHyperspherical Embedding Geometry

  22. Majority-of-Three is Optimal

    Jun 11, 2026Divit Rawal, Nikita ZhivotovskiyOptimal LearnerMulticlass Classification

  23. Simultaneous Latent Budget Trees for Stratified Classification

    Jun 11, 2026Simultaneous Latent Budget Trees for Stratified Classification Cristian Buoncompagni, Stefano Pellegrino, Giulia Vannucci +2Decision TreesStratification

  24. Explainably Safe Reinforcement Learning

    Jun 3, 2026Sabine Rieder, Stefan Pranger, Debraj Chakraborty +2Safe Reinforcement LearningShielding

  25. ScoreStop: Gradient-based early stopping using functional score tests

    Jun 1, 2026Oliver J. Hines, Christian L. HinesEarly StoppingGradient Boosted Tree

  26. Sample Complexity and Decision-Theoretic Guarantees for Bayesian Model Averaging over Decision Trees with Catalan-Exponential Priors

    May 31, 2026Livija Jakaite, Vitaly SchetininDecision TreesModel Selection

  27. From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets

    May 29, 2026Zakk Heile, Hayden McTavish, Varun Babbar +2Decision TreesDecisions

  28. Correcting Split Selection in Online Decision Trees via Anytime-Valid Inference

    May 29, 2026Salim I. Amoukou, Saumitra Mishra, Manuela VelosoDecision TreesRandom Forest

  29. Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis

    May 28, 2026Thalea Schlender, Peter A. N. Bosman, Tanja AlderliestenSurvival AnalysisDecision Trees

  30. Forecasting Japanese elections: A nonlinear machine-learning approach

    May 26, 2026Sota Kato, Xuan Luo, Budrul Ahsan +2Decision Trees

  31. Hinge Regression Trees and HRT-Boost: Newton-Optimized Oblique Learning for Compact Tabular Models

    May 22, 2026Hongyi Li, Jun Xu, Hong YanDecision TreesRandom Forest

  32. Ternary Decision Trees with Locally-Adaptive Uncertainty Zones

    May 21, 2026William SmitsDecision TreesPredictive Uncertainty

  33. Optimal Pattern Detection Tree for Symbolic Rule-Based Classification

    May 14, 2026Young-Chae Hong, Yangho ChenDecision TreesData Mining

  34. Quantifying Sensitivity for Tree Ensembles: A symbolic and compositional approach

    May 13, 2026Ajinkya Naik, Chaitanya Garg, S. Akshay +2Decision TreesEnsemble

  35. Decision Tree Learning on Product Spaces

    May 13, 2026Arshia Soltani Moakhar, Faraz Ghahremani, Kiarash Banihashem +1Decision TreesTrees

  36. Pitfalls of Unlabeled Disagreement-Based Drift Detection in Streaming Tree Ensembles

    May 12, 2026Lara Sá Neves, Afonso Lourenço, Lizy K. John +1Decision TreesEnsemble

  37. MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound

    May 12, 2026Phu-Hoa Pham, Chi-Nguyen Tran, Nguyen Lam Phu Quy +3Efficient Continual LearningDecision Trees

  38. Approximation-Free Differentiable Oblique Decision Trees

    May 8, 2026Subrat Prasad Panda, Blaise Genest, Arvind EaswaranDifferentiable RelaxationDecision Trees

  39. Optimal Recourse Summaries via Bi-Objective Decision Tree Learning

    May 8, 2026Ioannis Chatzis, Jason Liartis, Athanasios Voulodimos +1SummarizationDecision Trees

  40. Optimal Counterfactual Search in Tree Ensembles: A Study Across Modeling and Solution Paradigms

    May 7, 2026Awa Khouna, Youssouf Emine, Julien Ferry +1Counterfactual ExplanationDecision Trees

  41. Exact and Approximate Algorithms for Polytree Learning

    May 5, 2026Juha Harviainen, Frank Sommer, Manuel SorgeBayesian NetworksApproximation Algorithms

  42. Trees to Flows and Back: Unifying Decision Trees and Diffusion Models

    May 1, 2026Sai Niranjan Ramachandran, Suvrit SraDecision TreesGenerative Flow Networks

  43. RCProb: Probabilistic rule extraction from classification tree ensembles

    Apr 28, 2026Josue ObregonDecision TreesEnsemble

  44. Adaptive ToR: Complexity-Aware Tree-Based Retrieval for Pareto-Optimal Multi-Intent NLU

    Apr 27, 2026Hee-Kyong Yoo, Wonbae Kim, Hyocheol AhnRetrieval LayerLegal Natural Language Processing Benchmarks

  45. Interpretable Quantile Regression by Optimal Decision Trees

    Apr 22, 2026Valentin Lemaire, Gaël Aglin, Siegfried NijssenQuantile RegressionInterpretable Machine Learning

  46. TrEEStealer: Stealing Decision Trees via Enclave Side Channels

    Apr 20, 2026Jonas Sander, Anja Rabich, Nick Mahling +5Side-Channel AnalysisDecision Trees

  47. Tree of Concepts: Interpretable Continual Learners in Non-Stationary Clinical Domains

    Apr 18, 2026Dongkyu Cho, Xiyue Li, Samrachana Adhikari +1Efficient Continual LearningDecision Trees

  48. TT-Sparse: Learning Sparse Rule Models with Differentiable Truth Tables

    Mar 8, 2026Hans Farrell Soegeng, Sarthak Ketanbhai Modi, Thomas PeyrinSparsityDecision Trees

  49. Precedence-Constrained Decision Trees and Coverings

    Feb 24, 2026Michał Szyfelbein, Dariusz DereniowskiDecision TreesTrees

  50. Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles

    Feb 13, 2026Max Bruninx, Diederik van Binsbergen, Timothy Verstraeten +2Wind Power ForecastingOffshore Wind Turbine

  51. Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models

    Feb 2, 2026Bin Cao, Huixian Lu, Chenwen Ma +3TableStructure-Aware

  52. Experiments with Optimal Model Trees

    Mar 17, 2025Sabino Francesco Roselli, Eibe FrankDecision TreesInterpretable Machine Learning