Surbhi Goel

Acceleration via Fractal Learning Rate Schedules

2021 · arXiv (Cornell University)

In practical applications of iterative first-order optimization, the learning rate schedule remains notoriously difficult to understand and expensive to tune. We demonstrate the presence of these subtleties even in the innocuous case when the objective …

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 …