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Third-order Smoothness Helps: Even Faster Stochastic Optimization Algorithms for Finding Local Minima

Third-order Smoothness Helps: Even Faster Stochastic Optimization Algorithms for Finding Local Minima

Yaodong Yu
Pan Xu
Quanquan Gu
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Papers citing "Third-order Smoothness Helps: Even Faster Stochastic Optimization Algorithms for Finding Local Minima"

2 / 2 papers shown
Title
Sub-sampled Cubic Regularization for Non-convex Optimization
Sub-sampled Cubic Regularization for Non-convex Optimization
Jonas Köhler
Aurelien Lucchi
54
167
0
16 May 2017
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU
Zeyuan Allen-Zhu
Yuanzhi Li
43
44
0
06 Jan 2017

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