Michael Arbel

Functional Bilevel Optimization for Predictive Fairness

FBO, which uses a closed-form adjoint the authors derive for the squared-loss case to obtain an exact hypergradient, and ITD, which differentiates through unrolled inner steps and extends beyond squared loss, consistently match or outperform strong HSIC, adversarial, linear-dependence, and generalized-DP baselines.