Gautam Chandrasekaran

Learning Juntas under Markov Random Fields

Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees

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

Efficient Discrepancy Testing for Learning with Distribution Shift