Past Public Lectures

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
Theoretically Speaking — The Ethical Algorithm
Speaker: Michael Kearns (University of Pennsylvania)
Oct. 14, 2020
Richard M. Karp Distinguished Lecture – Safe Learning in Robotics
Speaker: Claire Tomlin (UC Berkeley)
Oct. 5, 2020
The Alignment Problem: Machine Learning and Human Values
Speaker: Brian Christian (UC Berkeley)
Sep. 17, 2020
Richard M. Karp Distinguished Lecture — Insights on Gradient-Based Algorithms in High-Dimensional Learning
Speaker: Lenka Zdeborová (EPFL)
Sep. 14, 2020
Hard Choices in Artificial Intelligence
Speaker: Thomas Gilbert (UC Berkeley)
Sep. 10, 2020
Advances in Boolean Function Analysis — Pseudorandom Generators from Polarizing Random Walks
Speaker: Pooya Hatami (Ohio State University)
Aug. 18, 2020
Advances in Boolean Function Analysis — KKL via Random Restrictions
Speaker: Esty Kelman (Tel Aviv University)
Aug. 12, 2020
Advances in Boolean Function Analysis — Concentration Inequalities for Boolean Functions via Pathwise Stochastic Analysis
Speaker: Ronen Eldan (Weizmann Institute)
Aug. 5, 2020

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