Konstantinos Stavropoulos

The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination

Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees

Tolerant Algorithms for Learning with Arbitrary Covariate Shift

Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random

An Efficient Tester-Learner for Halfspaces

Efficient Discrepancy Testing for Learning with Distribution Shift

On the Verification Complexity of Deterministic Nonsmooth Nonconvex Optimization