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Min-Max Optimization from a Dynamical Systems Viewpoint
Lecture 15 - Deep Learning Foundations by Soheil Feizi : Min-Max Optimization (Part II)
Optimal Control (CMU 16-745) - Lecture 20: Robust Control and Minimax Optimization
Costis Daskalakis - Min-Max Optimization: From von Neumann to Deep Learning, Nash and Wilson
Computationally Efficient Alternatives to Nonconvex-Nonconcave Min-Max Optimization
Last-Iterate Convergence in Constrained Min-Max Optimization: SOS to the Rescue
Smooth Nonconvex Min-Max Optimization
XGBoost Part 4 (of 4): Crazy Cool Optimizations
Min-Max Optimization (Part II)
Min-Max Optimization (Part III)
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Last Updated: October 31, 2026
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Summary
Constantinos Daskalakis (MIT) simons.berkeley.edu/talks/ Emmanouil Zampetakis (UC Berkeley) simons.berkeley.edu/talks/tbd-361 Adversarial Approaches in Machine Learning. Course Webpage: cs.umd.edu/class/fall2020/cmsc828W/ Panayotis Mertikopoulos (CNRS) simons.berkeley.edu/talks/ Lecture 20 for Optimal Control and Reinforcement Learning 2022 by Prof. Zac Manchester. Topics: - Robust control - ... Stratis Skoulakis and Manolis Zampetakis on Nisheeth Vishnoi (Yale University) ... Symposium on Foundations of Responsible Computing (FORC) 2022 6/6/2022 Speaker: Georgy Noarov, University of ... Yang Cai (Yale University) simons.berkeley.edu/talks/robust-md-ml-learned-mechanism Adversarial Approaches in ... Meisam Razaviyayn (University of Southern California) ... This video covers all kinds of extra optimizations that XGBoost uses when the training dataset is huge. So we'll talk about the ...