SPARROW is a black-box optimization method that treats a fixed generative sampler as a structured proposal operator and applies rank-based selection over evaluated candidates to achieve low-budget optimization with asymptotic convergence guarantees over the sampler support.
Design editing for offline model-based optimization.arXiv preprint arXiv:2405.13964, 2024
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Generative Refinement for Low-Budget Black-Box Optimization
SPARROW is a black-box optimization method that treats a fixed generative sampler as a structured proposal operator and applies rank-based selection over evaluated candidates to achieve low-budget optimization with asymptotic convergence guarantees over the sampler support.