arXiv Machine Learning By Shipra Agrawal, Yiding Feng, Wei Tang

Dynamic Pricing and Advertising with Demand Learning

Read the original on arXiv Machine Learning →

arXiv:2304. 14385v4 Announce Type: replace-cross Abstract: We consider a novel pricing and advertising framework in which a seller not only sets the product price but also designs flexible advertising schemes to influence customers' valuations of the product.

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arXiv Machine Learning
Aug 18

Learning to Price with Persuasion

arXiv:2608. 16699v1 Announce Type: cross Abstract: Motivated by modern marketplaces, where the platform or the seller routinely gathers detailed user profiles, we study a novel learning theoretic model that simultaneously involves information and mechanism design.

By Maria-Florina Balcan, Tejas Pagare, Karan Singh
arXiv Machine Learning
1d ago

Robust Budget Pacing with a Single Sample

arXiv:2302.02006v2 Announce Type: replace Abstract: Major Internet advertising platforms offer budget pacing tools as a standard service for advertisers to manage their ad campaigns. Given the inhere...

By Santiago Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang