Bo Xie (谢勃)
Hi, I am CS PhD student in Georgia Tech, working with Le Song and Srinivas Aluru. My research is focused on large-scale machine learning, especially stochastic optimization, spectral algorithms, kernel methods.
Before coming to GT, I worked as a research assistant in Xiaogang Wang's group in the Chinese University of Hong Kong. From 2009 to late 2010, I was working with Dacheng Tao in Nanyang Technological University.
Here is the code for doubly stochastic gradients at github.
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients (under review)
with Yingyu Liang and Le Song.
Distributed Kernel Principal Component Analysis (under review)
with Maria-Florina Balcan, Le Song, David Woodruff, and Yingyu Liang.
Large-Scale Gaussian Process Regression via Doubly Stochastic Gradient Descent (under review)
with Xinyan Yan, Byron Boots, and Le Song.
Scalable Kernel Methods via Doubly Stochastic Gradients
with Bo Dai, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, and Le Song.
Neural Information Processing Systems (NIPS 2014).
Nonparametric Estimation of Multi-View Latent Variable Models
with Le Song, Animashree Anandkumar, and Bo Dai.
International Conference on Machine Learning (ICML), 2014.
PolyA motif prediction using spectral latent features from human DNA sequences
with Boris R. Jankovic, Vladimir B. Bajic, Le Song, and Xin Gao.
Intelligent Systems for Molecular Biology (ISMB), 2013.