3 papers
cs.LG2025
Neyman-Pearson Classification under Both Null and Alternative Distributions Shift
Mohammadreza M. Kalan, Yuyang Deng, Eitan J. Neugut +1
We consider the problem of transfer learning in Neyman-Pearson classification, where the objective is to minimize the error w.r.t. a distribution , subject to the constraint…
stat.ML2025
Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
Yuyang Deng, Samory Kpotufe
Theoretical works on supervised transfer learning (STL) -- where the learner has access to labeled samples from both source and target distributions -- have for the most part focus…
cs.LG2024
Collaborative Learning with Different Labeling Functions
Yuyang Deng, Mingda Qiao
We study a variant of Collaborative PAC Learning, in which we aim to learn an accurate classifier for each of the data distributions, while minimizing the number of samples dra…