234 citations · 548 across the 25 of their papers we have counts for
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stat.ML2023
Slow Kill for Big Data Learning
Yiyuan She, Jianhui Shen, Adrian Barbu
Big-data applications often involve a vast number of observations and features, creating new challenges for variable selection and parameter estimation. This paper presents a novel…
stat.ML2023★ 4 cited
Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers
Yijia Zhou, Kyle A. Gallivan, Adrian Barbu
Clustering is a widely used technique with a long and rich history in a variety of areas. However, most existing algorithms do not scale well to large datasets, or are missing theo…