14 papers
Projection-Based Outlier Detection in Interval-Valued Functional Data
Hao Xu, Wan Tian, Zhongfeng Qin
Outlier detection is a fundamental task for ensuring reliable statistical modeling and inference. Interval-valued functional data (IVFD), in which each observation is represented b…
A Unified Detection Framework for AI-Related Content and Artifacts
Xifeng Zhang, Tao Hu, Yijie Peng +1
Artificial intelligence (AI) is a double-edged sword: while it has achieved remarkable success across a wide range of domains, its deployment also calls for effective oversight and…
Counterfactual Credit Policy Optimization for Multi-Agent Collaboration
Zhongyi Li, Wan Tian, Jinju Chen +4
Collaborative multi-agent large language models (LLMs) can solve complex reasoning tasks by decomposing roles, but reinforcement learning for such systems is limited by credit assi…
Estimating Precision Matrices for High-Dimensional Interval-Valued Data
Zhongfeng Qin, Hao Xu, Wenhao Cui +1
In the field of statistical learning and data analysis, estimating precision matrices (i.e., the inverse of covariance matrices) is a critical task, particularly for understanding…
Tail-Aware Information-Theoretic Bounds for LLM Alignment under Heavy-Tailed Rewards
Huiming Zhang, Binghan Li, Wan Tian +1
Classical information-theoretic learning bounds typically rely on KL mutual information and moment-generating-function (MGF) arguments, which are well matched to bounded or sub-Gau…
Machine Learning-Assisted High-Dimensional Matrix Estimation
Wan Tian, Hui Yang, Zhouhui Lian +2
Efficient estimation of high-dimensional matrices-including covariance and precision matrices-is a cornerstone of modern multivariate statistics. Most existing studies have focused…