36 citations · 43 across the 7 of their papers we have counts for
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cs.LG2022★ 36 cited
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara +2
Recent arguments that machine learning (ML) is facing a reproducibility and replication crisis suggest that some published claims in ML research cannot be taken at face value. Thes…
cs.LG2021★ 2 cited
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Tamara Broderick, Andrew Gelman, Rachael Meager +2
Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. We need evidence to support that the resulting decisions are we…