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Collaborating Authors

 Yaodong Yu


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

Neural Information Processing Systems

We propose stochastic optimization algorithms that can find local minima faster than existing algorithms for nonconvex optimization problems, by exploiting the third-order smoothness to escape non-degenerate saddle points more efficiently.