Prediction and welfare in ad auctions
type: Item
instance of: scholarly article
title: Prediction and welfare in ad auctions
zbMATH Open document ID: 1356.91054
author: Mukund Sundararajan
author: Inbal Talgam-Cohen
published in: Theory of Computing Systems
publication date: 2017-02-01T00:00:00Z
Mathematics Subject Classification ID: 91B26
zbMATH DE Number: 6679575
zbMATH Keywords: mechanism design
zbMATH Keywords: revenue optimization
zbMATH Keywords: sponsored search auctions
zbMATH Keywords: virtual values
zbMATH Keywords: Pareto frontier
zbMATH Keywords: rearrangement inequality
MaRDI profile type: Publication
full work available at URL: s00224-016-9679-z
OpenAlex ID: W2342980307
cites work: Simple, Optimal and Efficient Auctions
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cites work: Ad Auctions with Data
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cites work: Incentives in Teams
cites work: Efficient mechanisms for bilateral trading
cites work: Q3524739
cites work: The effectiveness of English auctions.
cites work: Auctions with a stochastic number of bidders
cites work: AdWords and generalized online matching
cites work: Optimal Auction Design
cites work: Prediction and Welfare in Ad Auctions
DOI: 10.1007/S00224-016-9679-Z
description: scientific article; zbMATH DE number 6679575