Lin Lin Lee

Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees

We give the first provably efficient algorithms for learning neural networks with respect to distribution shift. We work in the Testable Learning with Distribution Shift framework (TDS learning) of Klivans et al. (2024), where the learner receives labeled examples from a training distribution and u…