Image de couverture de livre

Invariant Random Forest: Tree-Based Model Solution for OOD Generalization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liao, Yufan, Wu, Qi, Yan, Xing
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Decorr: Environment Partitioning for Invariant Learning and OOD Generalization
par: Liao, Yufan, et autres
Publié: (2022)

Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
par: Montasser, Omar, et autres
Publié: (2024)

Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning
par: Zhang, Xinxun, et autres
Publié: (2026)

Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling
par: Shen, Xu, et autres
Publié: (2025)

OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
par: Jiang, Liangze, et autres
Publié: (2024)

MetaOOD: Automatic Selection of OOD Detection Models
par: Qin, Yuehan, et autres
Publié: (2024)

Should Bias be Eliminated? A General Framework to Use Bias for OOD Generalization
par: Li, Yan, et autres
Publié: (2025)

ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data
par: Luo, Kevin, et autres
Publié: (2024)

Generalized Random Forests using Fixed-Point Trees
par: Fleischer, David, et autres
Publié: (2023)

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
par: Mao, Yixiu, et autres
Publié: (2024)

GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model
par: Xu, Haoyan, et autres
Publié: (2025)

A Federated Random Forest Solution for Secure Distributed Machine Learning
par: Cotorobai, Alexandre, et autres
Publié: (2025)

Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach
par: Chen, Xuyang, et autres
Publié: (2025)

Integrating Random Forests and Generalized Linear Models for Improved Accuracy and Interpretability
par: Agarwal, Abhineet, et autres
Publié: (2023)

Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests
par: Blesch, Kristin, et autres
Publié: (2025)

Random Forest-Based Prediction of Stroke Outcome
par: Fernandez-Lozano, Carlos, et autres
Publié: (2024)

M3OOD: Automatic Selection of Multimodal OOD Detectors
par: Qin, Yuehan, et autres
Publié: (2025)

Mixed-Curvature Decision Trees and Random Forests
par: Chlenski, Philippe, et autres
Publié: (2024)

Tuning Out-of-Distribution (OOD) Detectors Without Given OOD Data
par: Mondal, Sudeepta, et autres
Publié: (2026)

General OOD Detection via Model-aware and Subspace-aware Variable Priority
par: Lu, Min, et autres
Publié: (2025)

Unraveling the Key Components of OOD Generalization via Diversification
par: Benoit, Harold, et autres
Publié: (2023)

Generative Learning of Heterogeneous Tail Dependence
par: Sun, Xiangqian, et autres
Publié: (2020)

Heterogeneous Random Forest
par: Kim, Ye-eun, et autres
Publié: (2024)

Random Forest Calibration
par: Shaker, Mohammad Hossein, et autres
Publié: (2025)

Invariant Graph Transformer for Out-of-Distribution Generalization
par: Liao, Tianyin, et autres
Publié: (2025)

Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data
par: Zhang, Bingjie, et autres
Publié: (2025)

An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning
par: Liu, Xingtu
Publié: (2025)

Bridging OOD Detection and Generalization: A Graph-Theoretic View
par: Wang, Han, et autres
Publié: (2024)

High-Dimensional Dynamic Covariance Models with Random Forests
par: Yu, Shuguang, et autres
Publié: (2025)

Interpretable Model-Aware Counterfactual Explanations for Random Forest
par: Harvey, Joshua S., et autres
Publié: (2025)

On the Tunability of Random Survival Forests Model for Predictive Maintenance
par: Yardımcı, Yigitcan, et autres
Publié: (2025)

Can OOD Object Detectors Learn from Foundation Models?
par: Liu, Jiahui, et autres
Publié: (2024)

It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models
par: Xu, Xingcheng, et autres
Publié: (2023)

General-Purpose Multi-Modal OOD Detection Framework
par: Duong, Viet, et autres
Publié: (2023)

Neural Random Forest Imitation
par: Reinders, Christoph, et autres
Publié: (2019)

Jacobian Aligned Random Forests
par: Rauniyar, Sarwesh
Publié: (2025)

Random Similarity Isolation Forests
par: Chwilczyński, Sebastian, et autres
Publié: (2025)

Improving Random Forests by Smoothing
par: Liu, Ziyi, et autres
Publié: (2025)

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood
par: Yao, Qingmao, et autres
Publié: (2025)

Lassoed Forests: Random Forests with Adaptive Lasso Post-selection
par: Shang, Jing, et autres
Publié: (2025)