Contextual Scenario Generation (CSG) trains a neural mapping from context x to K surrogate scenarios via a distributional MMD loss and a task-based surrogate loss with MMD regularization, enabling fast high-quality 2SP decisions.
Advances in Neural Information Proces sing Systems 35, 23992–24005 (2022) 42
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Contextual Scenario Generation for Two-Stage Stochastic Programming
Contextual Scenario Generation (CSG) trains a neural mapping from context x to K surrogate scenarios via a distributional MMD loss and a task-based surrogate loss with MMD regularization, enabling fast high-quality 2SP decisions.