791 citations · 1.5k across the 57 of their papers we have counts for
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Fast Low-Rank Matrix Learning with Nonconvex Regularization
Quanming Yao, James T. Kwok, Wenliang Zhong
Low-rank modeling has a lot of important applications in machine learning, computer vision and social network analysis. While the matrix rank is often approximated by the convex nu…
Fast Second-Order Stochastic Backpropagation for Variational Inference
Kai Fan, Ziteng Wang, Jeff Beck +2
We propose a second-order (Hessian or Hessian-free) based optimization method for variational inference inspired by Gaussian backpropagation, and argue that quasi-Newton optimizati…
Asynchronous Distributed Semi-Stochastic Gradient Optimization
Ruiliang Zhang, Shuai Zheng, James T. Kwok
With the recent proliferation of large-scale learning problems,there have been a lot of interest on distributed machine learning algorithms, particularly those that are based on st…