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Hong-Kun Xu, Extra Anchored Gradient Method for Convex-Concave Minimax Problems
Convex Optimization
Lecture 7 - Stochastic non-convex optimization: The Zeroth order case
Lower complexity bounds of first-order methods for min-max problems
Last-Iterate Convergence Rates for Min-Max Optimization
Lecture 5 - Stochastic non-convex optimization: The Zeroth order case
Convex Optimization Explained | How It Powers Machine Learning & AI
Min-Max Optimization (Part I)
Lecture 6 - Stochastic non-convex optimization: The Zeroth order case
OWOS: Ernest K. Ryu - Non-Nesterov Acceleration Methods for Minimization and Minimax Optimization
Optimization: First-order Methods Part 2
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Last Updated: October 1, 2026
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Chinmay Maheshwari (UC Berkeley) simons.berkeley.edu/talks/tbd-363 Adversarial Approaches in Machine Abstract: Algorithmic approaches to see.stanford.edu/Course/EE364A. In this talk, we study the lower iteration complexity bounds for finding the saddle point of a strongly The 32nd International Conference on Algorithmic How do we find the best solution to complex Constantinos Daskalakis (MIT) simons.berkeley.edu/talks/ The fith talk in the fourth season of the One World Optimization Seminar given on October 11th, 2021, by Ernest K. Ryu (Seoul ... Alina Ene (Boston University) simons.berkeley.edu/talks/alina-ene-boston-university-2023-08-31-
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