Explanations of Black-Box Models based on Directional Feature Interactions

1 code implementation • ICLR 2022 • Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer Dy

As machine learning algorithms are deployed ubiquitously to a variety of domains, it is imperative to make these often black-box models transparent.

Multiple Clustering Views from Multiple Uncertain Experts

no code implementations • ICML 2017 • Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy

In this paper, we address the problem on how to automatically discover multiple ways to cluster data given potentially diverse inputs from multiple uncertain experts.

Clustering Variational Inference