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#machine learning Preprint Sep 2026

D-IMPL: A Diffusion-based Solver for Parameterized BBOs

This paper proposes Diffusion-based Iterative Minimization Policy Learning (D-IMPL), a practical generative-model-based solver for solving parameterized BBOs that employs diffusion models to learn a minimization policy, whose density is proportional to the exponential of the negated objective values, thereby amortizing...

Yang Hu, Na Li · 0 citations

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