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Optimal Control (CMU 16-745) - Lecture 20: Robust Control and Minimax Optimization
Min-Max Optimization from a Dynamical Systems Viewpoint
Lecture 14 - Deep Learning Foundations by Soheil Feizi : Min-Max Optimization (Part I)
Lecture 15 - Deep Learning Foundations by Soheil Feizi : Min-Max Optimization (Part II)
Costis Daskalakis - Min-Max Optimization: From von Neumann to Deep Learning, Nash and Wilson
Optimization Examples - Part 4: Minimizing Time
Smooth Nonconvex Min-Max Optimization
Last-Iterate Convergence in Constrained Min-Max Optimization: SOS to the Rescue
Min-Max Optimization (Part III)
Computationally Efficient Alternatives to Nonconvex-Nonconcave Min-Max Optimization
Calculus 1 (3.7) Optimization Application Techniques for Word Problems Involving Min & Max Part A
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Last Updated: October 18, 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. This video covers all kinds of extra optimizations that XGBoost uses when the training dataset is huge. So we'll talk about the ... Lecture 20 for Optimal Control and Reinforcement Learning 2022 by Prof. Zac Manchester. Topics: - Robust control - Panayotis Mertikopoulos (CNRS) simons.berkeley.edu/talks/ Course Webpage: cs.umd.edu/class/fall2020/cmsc828W/ ... Stratis Skoulakis and Manolis Zampetakis on In this video I use the calculus methods for curve sketching that I showed in my earlier videos and solve a very useful example on ... Meisam Razaviyayn (University of Southern California) ... Yang Cai (Yale University) simons.berkeley.edu/talks/robust-md-ml-learned-mechanism Adversarial Approaches in ... Nisheeth Vishnoi (Yale University) ...