Autumn 2023 STAT 41521

Course: STAT 41521

Title: Topics in Distribution-free Inference

Instructor(s): Rina Barber

Class Schedule: TR 9:30 AM-10:50 AM in Jones 303

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.