Martin A Bertran — accepted AI-conference papers

2024

Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers

Natalia L. Martinez, Martin A. Bertran, Guillermo Sapiro

AISTATS 2024poster

Group distributional robustness optimization methods (GDRO) learn models that guarantee performance across a broad set of demographics. GDRO is often framed as a minimax game where an adversary proposes data distributions under which the model performs poorly; importance weights are used to mimic th…

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2021

Blind Pareto Fairness and Subgroup Robustness

Natalia L Martinez, Martin A Bertran, Afroditi Papadaki, Miguel Rodrigues, Guillermo Sapiro

ICML 2021spotlight

Much of the work in the field of group fairness addresses disparities between predefined groups based on protected features such as gender, age, and race, which need to be available at train, and often also at test, time. These approaches are static and retrospective, since algorithms designed to pr…

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