Course: STAT 37784=DATA 37784
Title: Representation Learning in Machine Learning
Instructor(s): Victor Veitch
Class Schedule: Sec 1: TR 3:30 PM-4:50 PM in Jones 226
This course is a seminar on representation learning in machine learning. The core questions in this are: how do machine learning systems recover the structure present in real-world data, how can we expose this recovered structure to human analysts, and how does this help us in real-world applications? In this seminar, we will read and discuss papers from the modern research literature on these subjects. Students should have previous exposure to machine learning and deep learning.