Personalized PageRank Vectors are widely used as fundamental graph-learn...
The Area Under the ROC Curve (AUC) is an important model metric for
eval...
This paper studies the online node classification problem under a
transd...
In this paper, we propose approximate Frank-Wolfe (FW) algorithms to sol...
In this paper, we aim to develop stochastic hard thresholding algorithms...
The Area Under the ROC Curve (AUC) is a widely used performance measure ...
Online learning algorithms update models via one sample per iteration, t...
Stochastic optimization algorithms update models with cheap per-iteratio...
Detection of interesting (e.g., coherent or anomalous) clusters has been...
Sparsity-constrained optimization is an important and challenging proble...
Structured sparse optimization is an important and challenging problem f...