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stat.ML2023★ 1 cited
Parameter-free projected gradient descent
Evgenii Chzhen, Christophe Giraud, Gilles Stoltz
We consider the problem of minimizing a convex function over a closed convex set, with Projected Gradient Descent (PGD). We propose a fully parameter-free version of AdaGrad, which…
stat.ML2022
Fair learning with Wasserstein barycenters for non-decomposable performance measures
Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen
This work provides several fundamental characterizations of the optimal classification function under the demographic parity constraint. In the awareness framework, akin to the cla…