Distinguished Lecture Series

Kathleen McKeown

April 21, 2023

Kathleen R. McKeown, Columbia University
Addressing Large Language Models that Lie: Case Studies in Summarization

Adam Smith

April 15, 2022

Adam Smith, Boston University
When is Memorization Necessary for Machine Learning?

Cynthia Rudin

April 8, 2022

Cynthia Rudin, Duke University
Scoring Systems: At the Extreme of Interpretable Machine Learning

Thorsten Joachims

May 7, 2021

Thorsten Joachims, Cornell University
Fair Recommendations with Biased Data

Jenn Wortman Vaughan

January 29, 2021

Jenn Wortman Vaughan, Microsoft Research
Intelligibility Throughout the Machine Learning Life Cycle

Dan Roth

February 28, 2020

Dan Roth, University of Pennsylvania
It's Time for Reasoning

Ray Mooney

January 16, 2020

Raymond J. Mooney, The University of Texas at Austin
Robots that Learn Grounded Language through Interactive Dialog