41 citations · 70 across the 9 of their papers we have counts for
5 papers · 1 filter
MIRT: Transformers for Truthful Generative Auctions with Whole-feed Permutation Externalities
Ali Elahi, Ermis Soumalias, Jason Cheuk Nam Liang +2
Modern online platforms commonly rank ads and organic content separately before blending them into a feed displayed to the user, overlooking externalities: an item's click-through…
Multi-channel Autobidding with Budget and ROI Constraints
Yuan Deng, Negin Golrezaei, Patrick Jaillet +2
In digital online advertising, advertisers procure ad impressions simultaneously on multiple platforms, or so-called channels, such as Google Ads, Meta Ads Manager, etc., each of w…
Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice
Yuan Deng, Negin Golrezaei, Patrick Jaillet +2
Online advertising channels have commonly focused on maximizing total advertiser value (or welfare) to enhance long-run retention and channel healthiness. Previous literature has s…
Learning to Price against a Budget and ROI Constrained Buyer
Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang +1
Internet advertisers (buyers) repeatedly procure ad impressions from ad platforms (sellers) with the aim to maximize total conversion (i.e. ad value) while respecting both budget a…
No-regret Learning in Price Competitions under Consumer Reference Effects
Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang
We study long-run market stability for repeated price competitions between two firms, where consumer demand depends on firms' posted prices and consumers' price expectations called…