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This is a video about Nonconvex Minimax Optimization

Nonconvex Minimax Optimization

November 20, 2019
Presenters: Chi Jin
Length: 1 hour 30 minutes

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Minimax optimization, especially in its general nonconvex formulation, has found extensive applications in modern machine learning, in settings such as generative adversarial networks (GANs) and adversarial training. It brings a series of unique challenges in addition to those that already persist in nonconvex minimization problems. This talk will cover a set of new phenomena, open problems, and recent results in this emerging field.

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