Past Public Lectures

Theoretically Speaking — A Panel Discussion on the Film Coded Bias
Speaker: Ashia Wilson (MIT, moderator) Panelists: Seny Kamara (Brown University Department of Computer Science and Aroki Systems), Shalini Kantayya (7th Empire Media and UC Berkeley Graduate School of Journalism), Sendhil Mullainathan (University of Chicago Booth School of Business), Omer Reingold (Stanford University Computer Science Department), and Patricia Williams (Northeastern University School of Law)
May 7, 2021
A New Theory of Adversarial Examples in Machine Learning
Speaker: Adi Shamir (Weizmann Institute)
May 6, 2021
Theoretically Speaking — Market Design through the Lens of Approximation
Speaker: Michal Feldman (Tel Aviv University)
Apr. 28, 2021
Richard M. Karp Distinguished Lecture — How Difficult is it to Certify that a Random SAT Formula is Unsatisfiable?
Speaker: Toniann Pitassi (University of Toronto)
Apr. 19, 2021
Richard M. Karp Distinguished Lecture — Back to the Future: A Fresh Look at Linear Temporal Logic
Speaker: Javier Esparza (Technical University of Munich)
Mar. 31, 2021
Richard M. Karp Distinguished Lecture — Trustworthy and Distributed Automated Reasoning
Speaker: Marijn Heule (Carnegie Mellon University)
Mar. 19, 2021
Embracing the Uncertainties
Speaker: Siobhan Roberts
Mar. 2, 2021
Richard M. Karp Distinguished Lecture — Automated Formal Program Repair
Speaker: Orna Grumberg (Technion - Israel Institute of Technology)
Feb. 25, 2021
Richard M. Karp Distinguished Lecture — Reductionism in Reinforcement Learning
Speaker: Dale Schuurmans (Google Brain & University of Alberta)
Nov. 23, 2020
Richard M. Karp Distinguished Lecture — Is Your Distribution In Shape?
Speaker: Ronitt Rubinfeld (MIT)
Nov. 9, 2020

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