Winter 2023 STAT 37786

Course:  STAT 37786

Title:  Topics in Learning Under Distribution Shifts

Instructor(s): Cong Ma

Teaching Assistant(s):

Class Schedule: Sec 1: MW 11:00 AM-12:20 PM in Jones 226

Description: Traditional supervised learning assumes that the training and testing distributions are the same. Such a no-distribution-shift assumption, however, is frequently violated in practice. In this course, we survey topics in machine learning in which distribution shifts naturally arise. Possible topics include supervised learning with covariate shift, off-policy evaluation in reinforcement learning, and offline reinforcement learning.