Flow- and score-based generative models can construct nominal, stressed, and conditional distributions for decision-making under distributional shift via transport maps and probability-space optimization.
Distributionally robust optimization via iterative algorithms in continuous probability spaces.arXiv preprint arXiv:2412.20556
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Generative models for decision-making under distributional shift
Flow- and score-based generative models can construct nominal, stressed, and conditional distributions for decision-making under distributional shift via transport maps and probability-space optimization.