4 papers · 1 filter
Harnessing Unimodality in Semiparametric Contextual Pricing via Oracle Price Map Learning
Yingying Fan, Yuxuan Han, Jinchi Lv +2
We study contextual dynamic pricing in a semiparametric scalar-index valuation model where the latent value is , with an unknown utility map a…
The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions
Yuxiao Wen, Zihao Hu, Yanjun Han +2
Existing auto-bidding algorithms in digital advertising often treat the value of an ad opportunity as the revenue obtained when an ad is shown and/or clicked, and bid accordingly.…
Learning to Bid with Unknown Private Values in Budget-Constrained First-Price Auctions
Zihao Hu, Yuxiao Wen, Yuan Yao +2
We study the operational problem of automated bidding in repeated first-price auctions under budget and return-on-spend (RoS) constraints. In this setting, an auto-bidder must tran…
Optimal Online and Offline Algorithms for Contextual MNL with Applications to Assortment and Pricing
Yunfan Zhang, Yuxuan Han, Hongyu Shan +2
Selecting which products to display and at what prices is a central decision in retail and e-commerce operations. In many applications, these two choices must be made jointly under…