75 citations · 119 across the 14 of their papers we have counts for
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cs.LG2021
Mandoline: Model Evaluation under Distribution Shift
Mayee Chen, Karan Goel, Nimit S. Sohoni +3
Machine learning models are often deployed in different settings than they were trained and validated on, posing a challenge to practitioners who wish to predict how well the deplo…
cs.LG2021★ 2 cited
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann +2
Labeling data for modern machine learning is expensive and time-consuming. Latent variable models can be used to infer labels from weaker, easier-to-acquire sources operating on un…