Overview of On Gradient Based Methods For Finding Game Theoretic Equilibria Michael Jordan Uc Berkeley
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ES AI+ML2024|Contracts, Uncertainty, and Incentives in Statistical Decision-Making by Michael Jordan
Day One - Michael Jordan (UC Berkeley)
Michael Jordan (UC Berkeley): Computational Thinking, Inferential Thinking, and Data Science
Optimization with Momentum: Dynamical, Variational, and Symplectic Perspectives, Michael I. Jordan
Michael Jordan: On Dynamics-Informed Blending of Machine Learning and Game Theory
The Data Science Revolution - Michael Jordan (UC Berkeley)
On Gradient-Based Optimization: Accelerated, Distributed, Asynchronous and Stochastic
Michael Jordan - On Dynamics-Informed Blending of Machine Learning and Game Theory
Taskar Memorial Lecture 2018: M. Jordan (UC, Berkeley)
Michael Jordan - Lecture 1
Principles For Human-Centered AI | Michael I Jordan (UC Berkeley)
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Last Updated: August 12, 2026
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