Data-driven sequential decision has found a wide range of applications in modern operations management, such as dynamic pricing, inventory control, and assortment optimization. Most existing research on data-driven focuses designing an online policy to maximize the revenue. However, uncertainty quantification underlying true model function (e.g., demand function), critical problem for practitio...