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cs.LG2022
Metric-Fair Classifier Derandomization
Jimmy Wu, Yatong Chen, Yang Liu
We study the problem of classifier derandomization in machine learning: given a stochastic binary classifier , sample a deterministic classifier $\hat{f}: X \to \{0…
cs.LG2022★ 4 cited
Fairness Transferability Subject to Bounded Distribution Shift
Yatong Chen, Reilly Raab, Jialu Wang +1
Given an algorithmic predictor that is "fair" on some source distribution, will it still be fair on an unknown target distribution that differs from the source within some bound? I…