7 citations · 11 across the 2 of their papers we have counts for
2 papers
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…
stat.ML2020★ 7 cited
Mutual Information Gradient Estimation for Representation Learning
Liangjian Wen, Yiji Zhou, Lirong He +2
Mutual Information (MI) plays an important role in representation learning. However, MI is unfortunately intractable in continuous and high-dimensional settings. Recent advances es…