4.4k citations · 24.2k across the 344 of their papers we have counts for
4 papers · 2 filters
Variance-Reduced Proximal Stochastic Gradient Descent for Non-convex Composite optimization
Xiyu Yu, Dacheng Tao
Here we study non-convex composite optimization: first, a finite-sum of smooth but non-convex functions, and second, a general function that admits a simple proximal mapping. Most…
Streaming View Learning
Chang Xu, Dacheng Tao, Chao Xu
An underlying assumption in conventional multi-view learning algorithms is that all views can be simultaneously accessed. However, due to various factors when collecting and pre-pr…
Streaming Label Learning for Modeling Labels on the Fly
Shan You, Chang Xu, Yunhe Wang +2
It is challenging to handle a large volume of labels in multi-label learning. However, existing approaches explicitly or implicitly assume that all the labels in the learning proce…
Dimensionality-Dependent Generalization Bounds for -Dimensional Coding Schemes
Tongliang Liu, Dacheng Tao, Dong Xu
The -dimensional coding schemes refer to a collection of methods that attempt to represent data using a set of representative -dimensional vectors, and include non-negative m…