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07/12/2023
Reward Selection with Noisy Observations
We study a fundamental problem in optimization under uncertainty. There ...
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07/07/2023
The Power of Two-sided Recruitment in Two-sided Markets
We consider the problem of maximizing the gains from trade (GFT) in two-...
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02/16/2023
User Response in Ad Auctions: An MDP Formulation of Long-Term Revenue Optimization
We propose a new Markov Decision Process (MDP) model for ad auctions to ...
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01/31/2023
Incentive Compatibility in the Auto-bidding World
Auto-bidding has recently become a popular feature in ad auctions. This ...
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01/18/2023
Auctions without commitment in the auto-bidding world
Advertisers in online ad auctions are increasingly using auto-bidding me...
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07/19/2022
Prior-Independent Auctions for Heterogeneous Bidders
We study the design of prior-independent auctions in a setting with hete...
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07/08/2022
Efficiency of non-truthful auctions under auto-bidding
Auto-bidding is now widely adopted as an interface between advertisers a...
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06/06/2022
Simple Mechanisms for Welfare Maximization in Rich Advertising Auctions
Internet ad auctions have evolved from a few lines of text to richer inf...
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04/22/2022
Auction Design in an Auto-bidding Setting: Randomization Improves Efficiency Beyond VCG
Auto-bidding is an area of increasing importance in the domain of online...
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12/14/2020
Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics
We consider the fundamental problem of selecting k out of n random varia...
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10/16/2020
Learning Robust Algorithms for Online Allocation Problems Using Adversarial Training
We address the challenge of finding algorithms for online allocation (i....
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09/14/2020