3 papers
stat.ME2026
Transfer Learning for Robust Structured Regression with Bi-level Source Detection
Haoming Shi, Yang Feng, Xiaoqian Liu
High-dimensional data in modern applications, such as COVID-19 mortality, often span multiple domains. Leveraging auxiliary information from source domains to improve performance i…
stat.ML2026
Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression
Haoming Shi, Eric C. Chi, Hengrui Luo
We study rank selection for low-rank tensor regression under random covariates design. Under a Gaussian random-design model and some mild conditions, we derive population expressio…
stat.ME2025
Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection
Haoming Shi, Shan Yu, Eric C. Chi
In epidemic modeling, outliers can distort parameter estimation and ultimately lead to misguided public health decisions. Although there are existing robust methods that can mitiga…