:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wettenstein, Ron, Nadel, Alexander, Boker, Udi
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2605.14578
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

WOODELF-HD: Efficient Background SHAP for High-Depth Decision Trees
par: Wettenstein, Ron, et autres
Publié: (2026)

From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm
par: Nadel, Alexander, et autres
Publié: (2025)

Quadrature-TreeSHAP: Depth-Independent TreeSHAP and Shapley Interactions
par: Wettenstein, Ron, et autres
Publié: (2026)

Fast Estimation of Partial Dependence Functions using Trees
par: Liu, Jinyang, et autres
Publié: (2024)

Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
par: Xin, Xi, et autres
Publié: (2024)

Discounted-Sum Automata with Multiple Discount Factors
par: Boker, Udi, et autres
Publié: (2023)

Token Games and History-Deterministic Quantitative-Automata
par: Boker, Udi, et autres
Publié: (2021)

Glitches in Decision Tree Ensemble Models
par: Chandra, Satyankar, et autres
Publié: (2025)

Watermarking Decision Tree Ensembles
par: Calzavara, Stefano, et autres
Publié: (2024)

A Multi-directional Meta-Learning Framework for Class-Generalizable Anomaly Detection
par: Roy, Padmaksha, et autres
Publié: (2026)

Dynamic Deep-Reinforcement-Learning Algorithm in Partially Observable Markov Decision Processes
par: Omi, Saki, et autres
Publié: (2023)

Analysis of the Identifying Regulation with Adversarial Surrogates Algorithm
par: Teichner, Ron, et autres
Publié: (2024)

When unlearning is free: leveraging low influence points to reduce computational costs
par: Kleiman, Anat, et autres
Publié: (2025)

Data-Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles
par: Varshney, Namrita, et autres
Publié: (2026)

GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
par: Marton, Sascha, et autres
Publié: (2023)

Beyond Marginals: Learning Joint Spatio-Temporal Patterns for Multivariate Anomaly Detection
par: Roy, Padmaksha, et autres
Publié: (2025)

Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles
par: Arrighi, Leonardo, et autres
Publié: (2024)

Boosting-Based Sequential Meta-Tree Ensemble Construction for Improved Decision Trees
par: Maniwa, Ryota, et autres
Publié: (2024)

Superfast Selection for Decision Tree Algorithms
par: Wang, Huaduo, et autres
Publié: (2024)

Is the Modality Gap a Bug or a Feature? A Robustness Perspective
par: Chowers, Rhea, et autres
Publié: (2026)

Classy Ensemble: A Novel Ensemble Algorithm for Classification
par: Sipper, Moshe
Publié: (2023)

Wine Quality Prediction with Ensemble Trees: A Unified, Leak-Free Comparative Study
par: Chen, Zilang
Publié: (2025)

Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions
par: Park, Sungwoo, et autres
Publié: (2024)

Learning Decision Trees and Forests with Algorithmic Recourse
par: Kanamori, Kentaro, et autres
Publié: (2024)

Stacked Confusion Reject Plots (SCORE)
par: Hasler, Stephan, et autres
Publié: (2024)

Flexible Routing via Uncertainty Decomposition
par: Peale, Charlotte, et autres
Publié: (2026)

When does a predictor know its own loss?
par: Gollakota, Aravind, et autres
Publié: (2025)

Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
par: Bénard, Clément
Publié: (2025)

A Unified Theory of Diversity in Ensemble Learning
par: Wood, Danny, et autres
Publié: (2023)

Beyond Numerical Features: CNN-Driven Algorithm Selection via Contour Plots for Continuous Black-Box Optimization
par: Yuan, Yiliang, et autres
Publié: (2026)

Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation
par: Biebert, Daniel, et autres
Publié: (2024)

Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
par: Cassel, Asaf, et autres
Publié: (2024)

Optimal Decision Tree Pruning Revisited: Algorithms and Complexity
par: Harviainen, Juha, et autres
Publié: (2025)

Fast Ensembling with Diffusion Schrödinger Bridge
par: Kim, Hyunsu, et autres
Publié: (2024)

A Simple Approximation Algorithm for Optimal Decision Tree
par: Zhuo, Zhengjia, et autres
Publié: (2025)

A Fast Convergence Theory for Offline Decision Making
par: Mao, Chenjie, et autres
Publié: (2024)

Constrained Online Decision-Making: A Unified Framework
par: Hu, Haichen, et autres
Publié: (2025)

Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation
par: Morelli, Fabian, et autres
Publié: (2026)

Fast Bayesian Optimization of Function Networks with Partial Evaluations
par: Buathong, Poompol, et autres
Publié: (2025)

Robust Decision Making with Partially Calibrated Forecasts
par: Kiyani, Shayan, et autres
Publié: (2025)