Search Results for author: Kangkang Deng

Found 2 papers, 1 papers with code

Decentralized Riemannian natural gradient methods with Kronecker-product approximations

no code implementations16 Mar 2023 Jiang Hu, Kangkang Deng, Na Li, Quanzheng Li

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

An Inexact Manifold Augmented Lagrangian Method for Adaptive Sparse Canonical Correlation Analysis with Trace Lasso Regularization

1 code implementation20 Mar 2020 Kangkang Deng, Zheng Peng

However, in high-dimensional settings where the number of variables exceeds sample size, or in the case of that the variables are highly correlated, the traditional CCA is no longer appropriate.

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