Course: STAT 41521
Title: Topics in Distribution-free Inference
Instructor: Rina Barber
Class Schedule: Sec 1: MW 1:30 PM–2:50 PM in Jones 226
Description: This course will focus on the recent field of distribution-free inference which seeks to provide verifiable statistical guarantees without assumptions on the distribution of the data. Methods in this area include holdout set methods, cross-validation type methods, and conformal prediction. The course will cover theoretical advances and practical methodologies, theoretical hardness results, and open problems in the field.