40 citations · 78 across the 17 of their papers we have counts for
11 papers · 1 filter
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…
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…
Prior-Independent Auctions for Heterogeneous Bidders
Guru Guruganesh, Aranyak Mehta, Di Wang +1
We study the design of prior-independent auctions in a setting with heterogeneous bidders. In particular, we consider the setting of selling to bidders whose values are drawn f…
Simple Mechanisms for Welfare Maximization in Rich Advertising Auctions
Gagan Aggarwal, Kshipra Bhawalkar, Aranyak Mehta +2
Internet ad auctions have evolved from a few lines of text to richer informational layouts that include images, sitelinks, videos, etc. Ads in these new formats occupy varying amou…