Escaping saddle points in constrained optimization
In this paper, we study the problem of escaping from saddle points in smooth nonconvex optimization problems subject to a convex set C. We propose a generic framework that yields convergence to a second-order stationary point of the problem, if the convex set C is simple for a quadratic objective fu...
Main Authors: | , , |
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Other Authors: | , |
Format: | Article |
Language: | English |
Published: |
Neural Information Processing Systems Foundation,
2019-07-09T15:27:53Z.
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Subjects: | |
Online Access: | Get fulltext |