Xuechen Zhang

Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective

2024 · arXiv (Cornell University)

Modern classification problems exhibit heterogeneities across individual classes: Each class may have unique attributes, such as sample size, label quality, or predictability (easy vs difficult), and variable importance at test-time. Without care, these heterogeneities impede …

Improving the Performance of OPTICS on Short Text Clustering by IsoKernel and UMAP

2024

Clustering of short text streams has become significant due to the popularity of social media platforms. such as Twitter, Facebook, and Weibo. Clustering of short text can automatically detect new topics. Most existing approaches exploit …