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cs.LG2022
Learning to Split for Automatic Bias Detection
Yujia Bao, Regina Barzilay
Classifiers are biased when trained on biased datasets. As a remedy, we propose Learning to Split (ls), an algorithm for automatic bias detection. Given a dataset with input-label…
cs.LG2021
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao, Shiyu Chang, Regina Barzilay
While unbiased machine learning models are essential for many applications, bias is a human-defined concept that can vary across tasks. Given only input-label pairs, algorithms may…
cs.LG2021★ 2 cited
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Yujia Bao, Shiyu Chang, Regina Barzilay
We propose Predict then Interpolate (PI), a simple algorithm for learning correlations that are stable across environments. The algorithm follows from the intuition that when using…