2026
Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks
ICLR 2026poster
The ability to train Deep Neural Networks (DNNs) with constraints is instrumental in improving the fairness of modern machine-learning models. Many algorithms have been analysed in recent years, and yet there is no standard, widely accepted method for the constrained training of DNNs. In this paper,…