We propose a minimax concave penalized multi-armed bandit algorithm under generalized linear model (G-MCP-Bandit) for a decision-maker facing high-dimensional data in an online learning and decision-making process. We demonstrate that the G-MCP-Bandit algorithm asymptotically achieves the...

Motivated by widespread outsourcing practices, this paper studies how a pre-outsourcing client facing uncertain operating costs selects an outsourcing contract between two contract types (the fixed-price contract and the cost-plus contract) proposed by two vendors, who offer contracts only if...

Deterministic congestion pricing has attracted most attentions in the literature. But little attention has been given to pricing under uncertainty, especially for heterogeneous commuters. In this paper, we investigate congestion externalities by considering commuters’ risk preferences and...

Historically, congestion pricing is considered to be an efficient mechanism used to decrease total social cost by charging users' true costs including congestion externalities. Congestion pricing under uncertainty has been relatively little studied. In this paper, we review the literature on...

This paper studies the influence of C2C resale marketplaces on pricing decisions and revenue performance of a capacitated seller selling high-tech or fashion products. We consider a monopolist seller sells fashionable products to consumers over two periods. Consumers who purchased early can...