no code implementations • 3 Nov 2022 • Qing Feng, Ruihao Zhu, Stefanus Jasin
We consider a setting where a firm sells a product over a horizon of $T$ time steps.
no code implementations • 21 Nov 2020 • Boxiao Chen, Selvaprabu Nadarajah, Parshan Pakiman, Stefanus Jasin
We also show that ARL, by being conscious of both model ambiguity and revenue, bridges the gap between a distributionally robust policy and a follow-the-leader policy, which focus on model ambiguity and revenue, respectively.
no code implementations • 21 Aug 2020 • Qiaochu Wang, Yan Huang, Stefanus Jasin, Param Vir Singh
We show that, in some cases, even the predictive power of machine learning algorithms may increase if the firm makes them transparent.