10 citations · 42 across the 16 of their papers we have counts for
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stat.ML2018
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate
Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li +1
Distributed sparse learning with a cluster of multiple machines has attracted much attention in machine learning, especially for large-scale applications with high-dimensional data…
cs.LG2018
Convolutional Geometric Matrix Completion
Kai-Lang Yao, Wu-Jun Li, Jianbo Yang +1
Geometric matrix completion (GMC) has been proposed for recommendation by integrating the relationship (link) graphs among users/items into matrix completion (MC). Traditional GMC…
cs.LG2018
Feature-Distributed SVRG for High-Dimensional Linear Classification
Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao +1
Linear classification has been widely used in many high-dimensional applications like text classification. To perform linear classification for large-scale tasks, we often need to…