Preprint
Aug 2026
Diffusion-Based Data-Driven Assortment Optimization
A model-agnostic framework for assortment optimization based on guided discrete diffusion that represents assortments as binary vectors and performs stochastic search via a learned reverse diffusion process, avoiding explicit combinatorial enumeration.
Jun-Yi Liao, Xiaohui Jiang, Zhengwei Tong et al.
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