Konstantinos Stavropoulos

Tolerant Algorithms for Learning with Arbitrary Covariate Shift

2024 · arXiv (Cornell University)

We study the problem of learning under arbitrary distribution shift, where the learner is trained on a labeled set from one distribution but evaluated on a different, potentially adversarially generated test distribution. We focus on …