20 citations · 48 across the 5 of their papers we have counts for
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cs.AI2019★ 5 cited
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
Daniel Kumor, Bryant Chen, Elias Bareinboim
One of the most common mistakes made when performing data analysis is attributing causal meaning to regression coefficients. Formally, a causal effect can only be computed if it is…
stat.ML2019★ 20 cited
A Unifying Causal Framework for Analyzing Dataset Shift-stable Learning Algorithms
Adarsh Subbaswamy, Bryant Chen, Suchi Saria
Recent interest in the external validity of prediction models (i.e., the problem of different train and test distributions, known as dataset shift) has produced many methods for fi…