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 with censored demand data. In contrast to prior works where demand is fully observed, we consider the setting where demand is ce…
cs.GT2026
Randomly Wrong Signals: Bayesian Auction Design with ML Predictions
Ilan Lobel, Humberto Moreira, Omar Mouchtaki
We study auction design when a seller relies on machine-learning predictions of bidders' valuations that may be unreliable. Motivated by modern ML systems that are often accurate b…
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…