3 papers
cs.LG2023
On Regularized Sparse Logistic Regression
Mengyuan Zhang, Kai Liu
Sparse logistic regression is for classification and feature selection simultaneously. Although many studies have been done to solve -regularized logistic regression, there…
eess.SY2023
Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis
Mei Yang, Gao Qiu, Yong Wu +5
The increasing scale of alternating current and direct current (AC/DC) hybrid systems necessitates a faster power flow analysis tool than ever. This letter thus proposes a specific…
cs.LG2023
Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers
Hu Ding, Ruomin Huang, Kai Liu +2
In this paper, we study the problem of {\em -center clustering with outliers}. The problem has many important applications in real world, but the presence of outliers can signif…