Investigates the effect of certificate-aware compilation on optimization decisions, suggesting improved efficiency in robust models.
Robust optimization asks for decisions that remain valid across an uncertainty class. This paper identifies a residual compilation principle behind many tractable reformulations. Categorically, an existential aggregation followed by a universal aggregation has a canonical residual envelope; in optimization language, that envelope is the safe side of weak minimax, with standard exactness conditions deciding when it preserves the original value. For structured uncertainty, the envelope is often closed form or a small conic certificate. We turn this observation into a compiler discipline: each robust atom receives an exact, upper-envelope, or relaxation certificate, and exact certificates preserve feasibility and value. The practical claim is not generic speedup but selective compilation: decide which atoms to rewrite, which to leave to pessimizing oracles, and how to combine them soundly. We develop compiler targets for Wasserstein duals, divergence duals, ellipsoidal support functions, and quadratic uncertainty certificates, then report a prototype methodology and prototype-scale synthetic benchmark evidence for the cost model underlying partial compilation.
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Lorand Bruhacs (2026) studied this question.
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