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cs.LG2026
Functional Bilevel Optimization for Predictive Fairness
Ieva Petrulionyte, Julien Mairal, Michael Arbel
When sensitive attributes are continuous and high-dimensional demographic score vectors, posteriors over attributes, age or income profiles enforcing full statistical indep…
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…
cs.LG2025
Learning Theory for Kernel Bilevel Optimization
Fares El Khoury, Edouard Pauwels, Samuel Vaiter +1
Bilevel optimization has emerged as a technique for addressing a wide range of machine learning problems that involve an outer objective implicitly determined by the minimizer of a…