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    • Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
    • How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues
    • Learning Utilities and Equilibria in Non-Truthful Auctions
    • A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling
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    • Sample Complexity of Forecast Aggregation
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Private Data Manipulation in Optimal Sponsored Search Auction

May 1, 2020·
(Alphabet) Xiaotie Deng
,
Tao Lin
,
Tao Xiao
· 0 min read
PDF Cite URL
Last updated on May 1, 2020
Auction Theory Machine Learning
← A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling Dec 1, 2020

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