4 papers
Classification Imbalance as Transfer Learning
Eric Xia, Jason M. Klusowski
Classification imbalance arises when one class is much rarer than the other. We frame this setting as transfer learning under label (prior) shift between an imbalanced source distr…
Task Matrices: Linear Maps for Cross-Model Finetuning Transfer
Darrin O' Brien, Dhikshith Gajulapalli, Eric Xia
Results in interpretability suggest that large vision and language models learn implicit linear encodings when models are biased by in-context prompting. However, the existence of…
Inference under Staggered Adoption: Case Study of the Affordable Care Act
Eric Xia, Yuling Yan, Martin J. Wainwright
Panel data consists of a collection of units that are observed over units of time. A policy or treatment is subject to staggered adoption if different units take on treatme…
Prediction Aided by Surrogate Training
Eric Xia, Martin J. Wainwright
We study a class of prediction problems in which relatively few observations have associated responses, but all observations include both standard covariates as well as additional…