53 citations · 70 across the 14 of their papers we have counts for
3 papers · 1 filter
Falsification before Extrapolation in Causal Effect Estimation
Zeshan Hussain, Michael Oberst, Ming-Chieh Shih +1
Randomized Controlled Trials (RCTs) represent a gold standard when developing policy guidelines. However, RCTs are often narrow, and lack data on broader populations of interest. C…
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets
Nikolaj Thams, Michael Oberst, David Sontag
We give a method for proactively identifying small, plausible shifts in distribution which lead to large differences in model performance. These shifts are defined via parametric c…
Understanding the Risks and Rewards of Combining Unbiased and Possibly Biased Estimators, with Applications to Causal Inference
Michael Oberst, Alexander D'Amour, Minmin Chen +3
Several problems in statistics involve the combination of high-variance unbiased estimators with low-variance estimators that are only unbiased under strong assumptions. A notable…