3 papers
cs.LG2026
What is the Value of Censored Data? An Exact Analysis for the Data-driven Newsvendor
Rachitesh Kumar, Omar Mouchtaki
We study the offline data-driven newsvendor problem when historical demand is censored by past inventory levels. We introduce a class of policies for which worst-case expected regr…
cs.GT2025
Prior-Independent Bidding Strategies for First-Price Auctions
Rachitesh Kumar, Omar Mouchtaki
First-price auctions are one of the most popular mechanisms for selling goods and services, with applications ranging from display advertising to timber sales. Unlike their close c…
cs.GT2025
Randomly Wrong Signals: Bayesian Auction Design with ML Predictions
Ilan Lobel, Humberto Moreira, Omar Mouchtaki
Machine learning can help sellers predict buyers' willingness to pay, but its predictions may be plausible and yet entirely unrelated to a buyer's value. We introduce a Bayesian au…