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06/03/2023
Accelerating Personalized PageRank Vector Computation
Personalized PageRank Vectors are widely used as fundamental graph-learn...
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06/02/2023
Does it pay to optimize AUC?
The Area Under the ROC Curve (AUC) is an important model metric for eval...
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05/25/2023
Fast Online Node Labeling for Very Large Graphs
This paper studies the online node classification problem under a transd...
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06/29/2021
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
In this paper, we propose approximate Frank-Wolfe (FW) algorithms to sol...
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11/04/2020
Stochastic Hard Thresholding Algorithms for AUC Maximization
In this paper, we aim to develop stochastic hard thresholding algorithms...
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09/23/2020
Online AUC Optimization for Sparse High-Dimensional Datasets
The Area Under the ROC Curve (AUC) is a widely used performance measure ...
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05/26/2019
Dual Averaging Method for Online Graph-structured Sparsity
Online learning algorithms update models via one sample per iteration, t...
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05/09/2019
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
Stochastic optimization algorithms update models with cheap per-iteratio...
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09/15/2017
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks
Detection of interesting (e.g., coherent or anomalous) clusters has been...
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12/11/2016
Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity
Sparsity-constrained optimization is an important and challenging proble...
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09/30/2016
