227 citations · 441 across the 20 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2019★ 2 cited
Policy Optimization with Stochastic Mirror Descent
Long Yang, Yu Zhang, Gang Zheng +5
Improving sample efficiency has been a longstanding goal in reinforcement learning. This paper proposes algorithm: a sample efficient policy gradient method with s…
cs.LG2017
Spectral-graph Based Classifications: Linear Regression for Classification and Normalized Radial Basis Function Network
Zhenfang Hu, Gang Pan, Zhaohui Wu
Spectral graph theory has been widely applied in unsupervised and semi-supervised learning. In this paper, we find for the first time, to our knowledge, that it also plays a concre…
cs.LG2014★ 2 cited
Sparse Principal Component Analysis via Rotation and Truncation
Zhenfang Hu, Gang Pan, Yueming Wang +1
Sparse principal component analysis (sparse PCA) aims at finding a sparse basis to improve the interpretability over the dense basis of PCA, meanwhile the sparse basis should cover…