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20102022
most citedImproving fairness in machine learning systems: What do industry practitioners need?

758 citations · 1.8k across the 31 of their papers we have counts for

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Showing 2016 · stat.MLShow all

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stat.ML2016★ 41 cited

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations

Aaron Schein, Mingyuan Zhou, David M. Blei +1

We introduce Bayesian Poisson Tucker decomposition (BPTD) for modeling country--country interaction event data. These data consist of interaction events of the form "country to…