2 papers
stat.ML2026
Transfer Learning Through Conditional Quantile Matching
Yikun Zhang, Steven Wilkins-Reeves, Wesley Lee +1
We introduce a transfer learning framework for regression that leverages heterogeneous source domains to improve predictive performance in a data-scarce target domain. Our approach…
stat.ML2024
Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
Steven Wilkins-Reeves, Xu Chen, Qi Ma +2
Distribution shifts are ubiquitous in real-world machine learning applications, posing a challenge to the generalization of models trained on one data distribution to another. We f…