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03/16/2023
Addressing bias in online selection with limited budget of comparisons
Consider a hiring process with candidates coming from different universi...
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09/01/2022
Fair learning with Wasserstein barycenters for non-decomposable performance measures
This work provides several fundamental characterizations of the optimal ...
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01/31/2022
Nyström Kernel Mean Embeddings
Kernel mean embeddings are a powerful tool to represent probability dist...
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02/24/2021
Classification with abstention but without disparities
Classification with abstention has gained a lot of attention in recent y...
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11/13/2020
An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression
Let (X, S, Y) ∈ℝ^p ×{1, 2}×ℝ be a triplet following some joint distribut...
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10/19/2020
Statistical guarantees for generative models without domination
In this paper, we introduce a convenient framework for studying (adversa...
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07/28/2020
A minimax framework for quantifying risk-fairness trade-off in regression
We propose a theoretical framework for the problem of learning a real-va...
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03/30/2020
Bounding the expectation of the supremum of empirical processes indexed by Hölder classes
We obtain upper bounds on the expectation of the supremum of empirical p...
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03/15/2019