2 papers
stat.ME2024
Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification
Austin Goddard, Kang Du, Yu Xiang
Making predictions in an unseen environment given data from multiple training environments is a challenging task. We approach this problem from an invariance perspective, focusing…
stat.ML2024
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning
Kang Du, Yu Xiang
We study the data-generating mechanism for reconstructive SSL to shed light on its effectiveness. With an infinite amount of labeled samples, we provide a sufficient and necessary…