Inspiration Exchange: next frontiers in interpretable ML

The van der Schaar Lab’s fifteenth Inspiration Exchange session took place virtually on February 7, 2022, and was attended by students and professionals from the AI and machine learning community.

This was an especially interactive session, featuring an audience poll and a lively Q&A and discussion. The session topic was “Next frontiers in interpretable machine learning.”

To start the session, Mihaela van der Schaar shared a framework for understanding and categorizing the various different types of machine learning interpretability (in and beyond the healthcare setting).

Ph.D. students Jonathan Crabbé and Zhaozhi Qian then presented two fundamentally different ways of approaching interpretability (and related projects), and discussed their respective strengths. The session was then opened up to the audience for Q&A and general discussion.

Introduction – 0:00
Welcome message from Mihaela van der Schaar – 4:36
Presentation by Jonathan Crabbé [SimplEx] – 20:03
Presentation by Zhaozhi Qian [SyncTwin] – 33:50
Audience Q&A – 45:19
Intro to next sessions – 59:28

For a high-level overview on interpretable machine learning, click here.

A full list of the lab’s publications can be found here.