80 citations · 345 across the 29 of their papers we have counts for
6 papers · 1 filter
Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval
Chang Huang, Shenghuo Zhu, Kai Yu
Learning Mahanalobis distance metrics in a high- dimensional feature space is very difficult especially when structural sparsity and low rank are enforced to improve com- putationa…
Influence Analysis in the Blogosphere
Michinari Momma, Yun Chi, Yuanqing Lin +2
In this paper we analyze influence in the blogosphere. Recently, influence analysis has become an increasingly important research topic, as online communities, such as social netwo…
A short note on the tail bound of Wishart distribution
Shenghuo Zhu
We study the tail bound of the emperical covariance of multivariate normal distribution. Following the work of (Gittens & Tropp, 2011), we provide a tail bound with a small constan…
Recovering the Optimal Solution by Dual Random Projection
Lijun Zhang, Mehrdad Mahdavi, Rong Jin +2
Random projection has been widely used in data classification. It maps high-dimensional data into a low-dimensional subspace in order to reduce the computational cost in solving th…
A Bayesian Framework for Community Detection Integrating Content and Link
Tianbao Yang, Rong Jin, Yun Chi +1
This paper addresses the problem of community detection in networked data that combines link and content analysis. Most existing work combines link and content information by a gen…
An Efficient Primal-Dual Prox Method for Non-Smooth Optimization
Tianbao Yang, Mehrdad Mahdavi, Rong Jin +1
We study the non-smooth optimization problems in machine learning, where both the loss function and the regularizer are non-smooth functions. Previous studies on efficient empirica…