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math.OC2021★ 1 cited
Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods
Guannan Liang, Qianqian Tong, Chunjiang Zhu +1
Stochastically controlled stochastic gradient (SCSG) methods have been proved to converge efficiently to first-order stationary points which, however, can be saddle points in nonco…
math.OC2020
Asynchronous Parallel Stochastic Quasi-Newton Methods
Qianqian Tong, Guannan Liang, Xingyu Cai +2
Although first-order stochastic algorithms, such as stochastic gradient descent, have been the main force to scale up machine learning models, such as deep neural nets, the second-…