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Peter J. Castaldi

2 accepted papers

2022

Explanations of Black-Box Models based on Directional Feature Interactions

ICLR 2022spotlight

As machine learning algorithms are deployed ubiquitously to a variety of domains, it is imperative to make these often black-box models transparent. Several recent works explain black-box models by capturing the most influential features for prediction per instance; such explanation methods are uni…

2017

Multiple Clustering Views from Multiple Uncertain Experts

ICML 2017poster

Expert input can improve clustering performance. In today’s collaborative environment, the availability of crowdsourced multiple expert input is becoming common. Given multiple experts’ inputs, most existing approaches can only discover one clustering structure. However, data is multi-faced by natur…

Cited by 18SourcePDFScholar