Description:

Synopsis

The field of interpretability aims to make algorithms understandable to humans, especially machine learning algorithms, which are often trained on huge datasets and have a large number of parameters. This workshop will explore connections between this topic and the program’s theme of machine learning and logic.

Speakers

Gilles Audemard (Artois University), Shai Ben-David (University of Waterloo), Sebastian Bordt (University of Tübingen), Simina Brânzei (Purdue University), Guy Van den Broeck (University of California, Los Angeles), Rich Caruana (Microsoft Research), Zachary Lipton (Carnegie Mellon University), Gyorgy Turan (University of Illinois at Chicago)

Student Presenters
 
Gregoire Fournier (University of Illinois at Chicago), Anmol Kabra (Toyota Technological Institute at Chicago), Omid Halimi Milani (University of Illinois at Chicago), Kavya Ravichandran (Toyota Technological Institute at Chicago), Liren Shan (Northwestern University), Yuzhang Shang (Illinois Institute of Technology), Han Shao (Toyota Technological Institute at Chicago), Kevin Stangl (Toyota Technological Institute at Chicago), Ruo Yang (Illinois Institute of Technology), Kevin Zhou (University of Illinois at Chicago), Xin Zhu (University of Illinois at Chicago)
 

Logistics

Date: Monday-Friday, April 10-14

In-person Location:
Monday 4/10: University of Illinois Chicago

Tuesday 4/11: University of Chicago

Wednesday 4/12: Illinois Institute of Technology

Thursday 4/13: Northwestern University

Friday 4/14: Toyota Technological Institute at Chicago

 
Registration: Click here to register

Schedule (Tentative)

Thursday, April 13 (at Northwestern)

Speakers:
Rich Caruana (MSR) Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning
Guy Van den Broeck (UCLA)  AI can learn from data. But can it learn to reason?

Student Presenters:
Anmol Kabra (TTIC) Reasonable modeling assumptions for real-world principal-agent games

10:00 am welcoming remarks / socializing
10:30 am – 11:30 am Rich Caruana (MSR)
11:30 am – 12:00 pm Anmol Kabra (TTIC)
12:00 pm – 2:00 pm lunch
2:00 pm – 3:00 pm Guy Van den Broeck (UCLA)
3:00 pm – 4:00 open discussion with students & faculty

About the Series
The IDEAL workshop series brings in experts on topics related to machine learning and logic to present their perspective and research on a common theme. The workshop is part of the IDEAL Winter/Spring 2023 Special Quarter on Machine Learning and Logic.