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Zeroth-Order Methods for Convex-Concave Minmax Problems: Learning from Strategically Generated Data
Simons Institute for the Theory of Computing
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Hong-Kun Xu, Extra Anchored Gradient Method for Convex-Concave Minimax Problems
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Katya Scheinberg: Introduction to derivative-free and zeroth order optimization I
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Jelena Diakonikolas - Structure in Min-Max Optimization (and How to Use It!)
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Smooth Nonconvex Min-Max Optimization
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Smoothing-enabled Zeroth-order Schemes for Stochastic Optimization Problems.
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Optimization: First-order Methods Part 2
Simons Institute for the Theory of Computing
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Last-Iterate Convergence Rates for Min-Max Optimization
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View & Download![[CVPR2026] CAZO: Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation — Junming Zhang — zeroth order methods for convex concave minmax problems learning from strategically generated data YouTube to MP3 & MP4 download on TubeGalore](/api/image/s2r6njdm2Ro/mqdefault)
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Zeroth Order Non-convex optimization with Dueling-Choice Bandits
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Lower complexity bounds of first-order methods for min-max problems
RPI Seminars MIDO
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