arXiv Machine Learning July 7, 2026 By Ieva Petrulionyte, Julien Mairal, Michael Arbel

Functional Bilevel Optimization for Predictive Fairness

Read the original on arXiv Machine Learning →

arXiv:2607. 05098v1 Announce Type: new Abstract: When sensitive attributes are continuous and high-dimensional $-$ demographic score vectors, posteriors over attributes, age or income profiles $-$ enforcing full statistical independence is often too restrictive, and existing relaxations rely on indirect dependence penalties or adversarial schemes that do not directly target the fairness-accuracy trade-off.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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