Arsh Vats

KJac: Constraint-Aware NAS for Learned Optimization

This preprint presents KJac, a zero-training neural architecture search proxy for learned optimization in constrained optimization settings. The study evaluates Jacobian-based architecture scoring across linear projection, convex quadratic programming, QCQP-style constraints, and...