CS 7880: Foundations of Trustworthy Machine Learning

Seminar in Theoretical CS — Spring 2025

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 11:35 – 1:15pm in 177 Huntington 6th Floor Conference Room

Note 1: This is not the official room assigned by the registrar!
Note 2: 177 Huntington has its own security system, please contact me to gain access

Instructor

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