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stat.ML2020★ 3 cited
Convex Fairness Constrained Model Using Causal Effect Estimators
Hikaru Ogura, Akiko Takeda
Recent years have seen much research on fairness in machine learning. Here, mean difference (MD) or demographic parity is one of the most popular measures of fairness. However, MD…
stat.ML2017
Optimistic Robust Optimization With Applications To Machine Learning
Matthew Norton, Akiko Takeda, Alexander Mafusalov
Robust Optimization has traditionally taken a pessimistic, or worst-case viewpoint of uncertainty which is motivated by a desire to find sets of optimal policies that maintain feas…