ORACLE: Optimizer-Relative Alignment for Constrained LEarning
ORACLE introduces optimizer-relative constrained learning by evaluating constraint compatibility after an optimizer update to align its geometry. This method improves or matches native optimizers in 94% of configurations across eight PDE benchmarks, demonstrating a way to ensure decision-preserving interfaces between optimizers and constraints.