2026
Design Linear Constrained Neural Layers with Implicit Convex Optimization
ICML 2026poster
One essential limitation of neural networks is how to enforce (hard) constraints on prediction. We propose a plug-in, differentiable layer, which involves a fast implicit (convex) optimization procedure to enforce the general linear constraint. It aims to minimize a divergence between unconstrained …