most citedA Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization

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math.OC2021★ 1 cited

A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization

Ziyi Chen, Zhengyang Hu, Qunwei Li +2

Gradient descent-ascent (GDA) is a widely used algorithm for minimax optimization. However, GDA has been proved to converge to stationary points for nonconvex minimax optimization,…