most citedA Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy

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cs.LG2024

Regret Optimality of Sample Average Approximation for Data-Driven Newsvendor Problems: A General Optimization Perspective

Jiameng Lyu, Shilin Yuan, Bingkun Zhou +1

Numerous existing studies have examined the performance of Sample Average Approximation (SAA) in the fundamental newsvendor problem. Despite these advances, critical gaps remain in…