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Elliott Gordon-Rodriguez

2 accepted papers

2022

Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome

NeurIPS 2022accept

Data augmentation plays a key role in modern machine learning pipelines. While numerous augmentation strategies have been studied in the context of computer vision and natural language processing, less is known for other data modalities. Our work extends the success of data augmentation to compositi…

2020

The continuous categorical: a novel simplex-valued exponential family

ICML 2020poster

Simplex-valued data appear throughout statistics and machine learning, for example in the context of transfer learning and compression of deep networks. Existing models for this class of data rely on the Dirichlet distribution or other related loss functions; here we show these standard choices suff…