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cs.LG2026
Directly Optimizing Mean Demographic Parity for Nonlinear Regression
Ieva Petrulionyte, Julien Mairal, Michael Arbel
We focus on regression settings where the fairness goal is to equalize average predictions across values of a sensitive attribute, a criterion known as mean demographic parity. Dir…
cs.LG2025
MAP Estimation with Denoisers: Convergence Rates and Guarantees
Scott Pesme, Giacomo Meanti, Michael Arbel +1
Denoiser models have become powerful tools for inverse problems, enabling the use of pretrained networks to approximate the score of a smoothed prior distribution. These models are…