27 citations · 49 across the 4 of their papers we have counts for
4 papers
Sparse matrix-variate Gaussian process blockmodels for network modeling
Feng Yan, Zenglin Xu, Yuan +1
We face network data from various sources, such as protein interactions and online social networks. A critical problem is to model network interactions and identify latent groups o…
Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis
Zenglin Xu, Feng Yan, Yuan +1
Tensor decomposition is a powerful computational tool for multiway data analysis. Many popular tensor decomposition approaches---such as the Tucker decomposition and CANDECOMP/PARA…
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning
Yuan Qi, Feng Yan
It is a challenging task to select correlated variables in a high dimensional space. To address this challenge, the elastic net has been developed and successfully applied to many…
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties
Feng Yan, Shreyas Sundaram, S. V. N. Vishwanathan +1
Online learning has become increasingly popular on handling massive data. The sequential nature of online learning, however, requires a centralized learner to store data and update…