Image de couverture de livre

Foundations of Unknown-aware Machine Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Du, Xuefeng
Format:	Preprint
Publié:	2025
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

Exploratory Machine Learning with Unknown Unknowns
par: Zhao, Peng, et autres
Publié: (2020)

Solving PDEs on Unknown Manifolds with Machine Learning
par: Liang, Senwei, et autres
Publié: (2021)

DONUT: Physics-aware Machine Learning for Real-time X-ray Nanodiffraction Analysis
par: Luo, Aileen, et autres
Publié: (2025)

Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
par: Lou, Xingzhou, et autres
Publié: (2024)

OpenCML: End-to-End Framework of Open-world Machine Learning to Learn Unknown Classes Incrementally
par: Parmar, Jitendra, et autres
Publié: (2025)

Out-of-Distribution Learning with Human Feedback
par: Bai, Haoyue, et autres
Publié: (2024)

Can Transformers Learn Optimal Filtering for Unknown Systems?
par: Balim, Haldun, et autres
Publié: (2023)

Information-Theoretic Foundations for Machine Learning
par: Jeon, Hong Jun, et autres
Publié: (2024)

Learning Mixtures of Unknown Causal Interventions
par: Kumar, Abhinav, et autres
Publié: (2024)

When and How Does In-Distribution Label Help Out-of-Distribution Detection?
par: Du, Xuefeng, et autres
Publié: (2024)

When a Reinforcement Learning Agent Encounters Unknown Unknowns
par: Zhu, Juntian, et autres
Publié: (2025)

GAMformer: Bridging Tabular Foundation Models and Interpretable Machine Learning
par: Mueller, Andreas, et autres
Publié: (2024)

Logifold: A Geometrical Foundation of Ensemble Machine Learning
par: Jung, Inkee, et autres
Publié: (2024)

Adaptive Policy Learning Under Unknown Network Interference
par: Gleich, Aidan, et autres
Publié: (2026)

Oracle-Efficient Hybrid Online Learning with Unknown Distribution
par: Wu, Changlong, et autres
Publié: (2024)

Temporally Disentangled Representation Learning under Unknown Nonstationarity
par: Song, Xiangchen, et autres
Publié: (2023)

System-Level Uncertainty Quantification with Multiple Machine Learning Models: A Theoretical Framework
par: Du, Xiaoping
Publié: (2025)

Information Theory in Open-world Machine Learning Foundations, Frameworks, and Future Direction
par: Wang, Lin
Publié: (2025)

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence
par: Violos, John, et autres
Publié: (2025)

An Experimental Study on Fairness-aware Machine Learning for Credit Scoring Problems
par: Thu, Huyen Giang Thi, et autres
Publié: (2024)

HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
par: Du, Xuefeng, et autres
Publié: (2024)

Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection
par: Lu, Ruiying, et autres
Publié: (2025)

How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
par: Du, Xuefeng, et autres
Publié: (2024)

Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
par: Xu, Qingsong, et autres
Publié: (2023)

Thompson Sampling-Based Learning and Control for Unknown Dynamic Systems
par: Zheng, Kaikai, et autres
Publié: (2025)

On the Robustness of Age for Learning-Based Wireless Scheduling in Unknown Environments
par: Steiger, Juaren, et autres
Publié: (2026)

Elign: Equivariant Diffusion Model Alignment from Foundational Machine Learning Force Fields
par: Li, Yunyang, et autres
Publié: (2026)

Survey-aware Machine Learning: A Guideline for Valid Population Health Inference based on Scoping Review
par: Oh, YongKyung, et autres
Publié: (2026)

Machine Learning and Control: Foundations, Advances, and Perspectives
par: Zuazua, Enrique
Publié: (2025)

Improving Data-aware and Parameter-aware Robustness for Continual Learning
par: Xiao, Hanxi, et autres
Publié: (2024)

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction
par: Rajamohan, Haresh Rengaraj, et autres
Publié: (2026)

Online Learning with Unknown Constraints
par: Sridharan, Karthik, et autres
Publié: (2024)

Provable Reinforcement Learning from Human Feedback with an Unknown Link Function
par: Zhang, Qining, et autres
Publié: (2025)

Linear Causal Representation Learning from Unknown Multi-node Interventions
par: Varıcı, Burak, et autres
Publié: (2024)

Contributions to the Decision Theoretic Foundations of Machine Learning and Robust Statistics under Weakly Structured Information
par: Jansen, Christoph
Publié: (2025)

Uncertainty-aware Knowledge Tracing
par: Cheng, Weihua, et autres
Publié: (2025)

FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning
par: Lu, Xiuhua, et autres
Publié: (2024)

Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning
par: Yifru, Lunet, et autres
Publié: (2024)

Accounting for Uncertainty in Machine Learning Surrogates: A Gauss-Hermite Quadrature Approach to Reliability Analysis
par: Tootchi, Amirreza, et autres
Publié: (2025)

Position: Untrained Machine Learning for Anomaly Detection by using 3D Point Cloud Data
par: Du, Juan, et autres
Publié: (2025)