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math.OC2026
A Decomposition-Based Data-Driven Branch-and-Bound Approach for Black-Box Global Optimization
Damilola Fasiku, Wentao Tang
Many scientific and engineering applications require the global optimization of expensive black-box functions. In high-dimensional settings, however, achieving computational scalab…
math.OC2022★ 20 cited
A Short and General Duality Proof for Wasserstein Distributionally Robust Optimization
Luhao Zhang, Jincheng Yang, Rui Gao
We present a general duality result for Wasserstein distributionally robust optimization that holds for any Kantorovich transport cost, measurable loss function, and nominal probab…