:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Du, Xuefeng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2505.14933
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploratory Machine Learning with Unknown Unknowns
by: Zhao, Peng, et al.
Published: (2020)

Solving PDEs on Unknown Manifolds with Machine Learning
by: Liang, Senwei, et al.
Published: (2021)

DONUT: Physics-aware Machine Learning for Real-time X-ray Nanodiffraction Analysis
by: Luo, Aileen, et al.
Published: (2025)

Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
by: Lou, Xingzhou, et al.
Published: (2024)

Out-of-Distribution Learning with Human Feedback
by: Bai, Haoyue, et al.
Published: (2024)

Can Transformers Learn Optimal Filtering for Unknown Systems?
by: Balim, Haldun, et al.
Published: (2023)

OpenCML: End-to-End Framework of Open-world Machine Learning to Learn Unknown Classes Incrementally
by: Parmar, Jitendra, et al.
Published: (2025)

When and How Does In-Distribution Label Help Out-of-Distribution Detection?
by: Du, Xuefeng, et al.
Published: (2024)

Information-Theoretic Foundations for Machine Learning
by: Jeon, Hong Jun, et al.
Published: (2024)

When a Reinforcement Learning Agent Encounters Unknown Unknowns
by: Zhu, Juntian, et al.
Published: (2025)

Learning Mixtures of Unknown Causal Interventions
by: Kumar, Abhinav, et al.
Published: (2024)

HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
by: Du, Xuefeng, et al.
Published: (2024)

GAMformer: Bridging Tabular Foundation Models and Interpretable Machine Learning
by: Mueller, Andreas, et al.
Published: (2024)

How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
by: Du, Xuefeng, et al.
Published: (2024)

Logifold: A Geometrical Foundation of Ensemble Machine Learning
by: Jung, Inkee, et al.
Published: (2024)

Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection
by: Lu, Ruiying, et al.
Published: (2025)

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence
by: Violos, John, et al.
Published: (2025)

An Experimental Study on Fairness-aware Machine Learning for Credit Scoring Problems
by: Thu, Huyen Giang Thi, et al.
Published: (2024)

Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
by: Xu, Qingsong, et al.
Published: (2023)

Adaptive Policy Learning Under Unknown Network Interference
by: Gleich, Aidan, et al.
Published: (2026)

Oracle-Efficient Hybrid Online Learning with Unknown Distribution
by: Wu, Changlong, et al.
Published: (2024)

Temporally Disentangled Representation Learning under Unknown Nonstationarity
by: Song, Xiangchen, et al.
Published: (2023)

Machine Learning and Control: Foundations, Advances, and Perspectives
by: Zuazua, Enrique
Published: (2025)

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

Online Learning with Unknown Constraints
by: Sridharan, Karthik, et al.
Published: (2024)

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

Thompson Sampling-Based Learning and Control for Unknown Dynamic Systems
by: Zheng, Kaikai, et al.
Published: (2025)

On the Robustness of Age for Learning-Based Wireless Scheduling in Unknown Environments
by: Steiger, Juaren, et al.
Published: (2026)

FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning
by: Lu, Xiuhua, et al.
Published: (2024)

Improving Data-aware and Parameter-aware Robustness for Continual Learning
by: Xiao, Hanxi, et al.
Published: (2024)

Unlocking the Pre-Trained Model as a Dual-Alignment Calibrator for Post-Trained LLMs
by: Luo, Beier, et al.
Published: (2026)

Survey-aware Machine Learning: A Guideline for Valid Population Health Inference based on Scoping Review
by: Oh, YongKyung, et al.
Published: (2026)

Elign: Equivariant Diffusion Model Alignment from Foundational Machine Learning Force Fields
by: Li, Yunyang, et al.
Published: (2026)

Uncertainty-aware Knowledge Tracing
by: Cheng, Weihua, et al.
Published: (2025)

Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning
by: Yifru, Lunet, et al.
Published: (2024)

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction
by: Rajamohan, Haresh Rengaraj, et al.
Published: (2026)

Learning to Play Against Unknown Opponents
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)

Provable Reinforcement Learning from Human Feedback with an Unknown Link Function
by: Zhang, Qining, et al.
Published: (2025)

Linear Causal Representation Learning from Unknown Multi-node Interventions
by: Varıcı, Burak, et al.
Published: (2024)

Unknown Unknowns: Why Hidden Intentions in LLMs Evade Detection
by: Srivastav, Devansh, et al.
Published: (2026)