"On Nonconvex Optimization for Machine Learning: Gradients, Stochasticity, ..."

Chi Jin et al. (2021)

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DOI: 10.1145/3418526

access: closed

type: Journal Article

metadata version: 2022-12-07

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Chi Jin, Praneeth Netrapalli, Rong Ge, Sham M. Kakade, Michael I. Jordan:
On Nonconvex Optimization for Machine Learning: Gradients, Stochasticity, and Saddle Points. J. ACM 68(2): 11:1-11:29 (2021)

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