most citedDecentralized Riemannian natural gradient methods with Kronecker-product approximations

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math.OC2023★ 1 cited

Decentralized Riemannian natural gradient methods with Kronecker-product approximations

Jiang Hu, Kangkang Deng, Na Li +1

With a computationally efficient approximation of the second-order information, natural gradient methods have been successful in solving large-scale structured optimization problem…

math.OC2023

A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity

Jiang Hu, Kangkang Deng, Jiayuan Wu +1

This paper aims to develop a Newton-type method to solve a class of nonconvex composite programs. In particular, the nonsmooth part is possibly nonconvex. To tackle the nonconvexit…