5 papers
QQWorld: Quantile-Quantile Matching for World Model Regularization
Zhoushun Yu, Xiaoyu Hu, Xiangyu Xu
Latent world models enable efficient planning by predicting future states in a compact representation space, but their performance depends critically on the quality of the learned…
Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain
Xiaoyu Hu, Jinman Zhao
Large language models (LLMs) are increasingly deployed in financial contexts, raising critical concerns about reliability, alignment, and susceptibility to adversarial manipulation…
Neural Wasserstein Two-Sample Tests
Xiaoyu Hu, Zhenhua Lin
The two-sample homogeneity testing problem is fundamental in statistics and becomes particularly challenging in high dimensions, where classical tests can suffer substantial power…
Fairness-aware Bayes optimal functional classification
Xiaoyu Hu, Gengyu Xue, Zhenhua Lin +1
Algorithmic fairness has become a central topic in machine learning, and mitigating disparities across different subpopulations has emerged as a rapidly growing research area. In t…
Transfer Learning Meets Functional Linear Regression: No Negative Transfer under Posterior Drift
Xiaoyu Hu, Zhenhua Lin
Posterior drift refers to changes in the relationship between responses and covariates while the distributions of the covariates remain unchanged. In this work, we explore function…