17 citations · 54 across the 14 of their papers we have counts for
5 papers · 1 filter
Evidential Deep Active Learning for Semi-Supervised Classification
Shenkai Zhao, Xinao Zhang, Lipeng Pan +2
Semi-supervised classification based on active learning has made significant progress, but the existing methods often ignore the uncertainty estimation (or reliability) of the pred…
Clustered Reinforcement Learning
Xiao Ma, Shen-Yi Zhao, Wu-Jun Li
Exploration strategy design is one of the challenging problems in reinforcement learning~(RL), especially when the environment contains a large state space or sparse rewards. Durin…
Quantized Epoch-SGD for Communication-Efficient Distributed Learning
Shen-Yi Zhao, Hao Gao, Wu-Jun Li
Due to its efficiency and ease to implement, stochastic gradient descent (SGD) has been widely used in machine learning. In particular, SGD is one of the most popular optimization…
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…
Scalable Stochastic Alternating Direction Method of Multipliers
Shen-Yi Zhao, Wu-Jun Li, Zhi-Hua Zhou
Stochastic alternating direction method of multipliers (ADMM), which visits only one sample or a mini-batch of samples each time, has recently been proved to achieve better perform…