CS 7880: Foundations of Trustworthy Machine Learning

Overview

This seminar course will cover recent advances in the theoretical foundations of (trustworthy) machine learning, including but not limited to topics like privacy, fairness, robustness, generalization, safety, and incentives. The course will consistent primarily of student-led presentations of classic and recent research papers, and will be shaped by students' interests.

Time & Location

MTh 12:00 – 1:40pm
177 Huntington Room 503 (5th Floor)

• Note: We've slightly modified the time of the class so we could have a larger room. The class now begins at 12:00pm.

• Note: This class meets in the 177 Huntington building, not the official room assigned by the registrar. This building has its own access system that requires you to show ID at the front desk. I will add you to the guest list for the semester.

Instructor

Jonathan Ullman
jullman@ccs.neu.edu
Location: 177 Huntington, Rm 623