40 citations · 78 across the 17 of their papers we have counts for
17 papers
Reward Selection with Noisy Observations
Kamyar Azizzadenesheli, Trung Dang, Aranyak Mehta +2
We study a fundamental problem in optimization under uncertainty. There are boxes; each box contains a hidden reward . Rewards are drawn i.i.d. from an unknown distrib…
The Power of Two-sided Recruitment in Two-sided Markets
Yang Cai, Christopher Liaw, Aranyak Mehta +1
We consider the problem of maximizing the gains from trade (GFT) in two-sided markets. The seminal impossibility result by Myerson and Satterthwaite shows that even for bilateral t…
User Response in Ad Auctions: An MDP Formulation of Long-Term Revenue Optimization
Yang Cai, Zhe Feng, Christopher Liaw +2
We propose a new Markov Decision Process (MDP) model for ad auctions to capture the user response to the quality of ads, with the objective of maximizing the long-term discounted r…
Incentive Compatibility in the Auto-bidding World
Yeganeh Alimohammadi, Aranyak Mehta, Andres Perlroth
Auto-bidding has recently become a popular feature in ad auctions. This feature enables advertisers to simply provide high-level constraints and goals to an automated agent, which…
Auctions without commitment in the auto-bidding world
Aranyak Mehta, Andres Perlroth
Advertisers in online ad auctions are increasingly using auto-bidding mechanisms to bid into auctions instead of directly bidding their value manually. One prominent auto-bidding f…
Efficiency of non-truthful auctions under auto-bidding
Christopher Liaw, Aranyak Mehta, Andres Perlroth
Auto-bidding is now widely adopted as an interface between advertisers and internet advertising as it allows advertisers to specify high-level goals, such as maximizing value subje…