Tao Lin
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    • Learning Thresholds with Latent Values and Censored Feedback
    • Sample Complexity of Forecast Aggregation
    • From Monopoly to Competition: Optimal Contests Prevail
    • 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
    • Private Data Manipulation in Optimal Sponsored Search Auction
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    • How to Avoid Polarization in Recommender Systems with Dual Influence?
    • Bayesian Persuasion with a Learning Agent
    • Generalized Principal-Agent Problem with a Learning Agent
    • Private Data Manipulation in Sponsored Search Auctions
    • Sample Complexity of Forecast Aggregation
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    • Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
    • Robustness of Empirical Revenue Maximization in Auction Learning
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    • On Clearing Prices in Matching Markets: A Simple Characterization without Duality
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From Monopoly to Competition: Optimal Contests Prevail

Feb 1, 2023·
(Alphabetical) Xiaotie Deng
,
Yotam Gafni
,
Ron Lavi
,
Tao Lin
,
Hongyi Ling
· 0 min read
PDF Cite Poster URL
Type
Conference paper
Publication
Proceedings of the AAAI Conference on Artificial Intelligence
Last updated on Feb 1, 2023
← Sample Complexity of Forecast Aggregation Dec 1, 2023
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions Apr 1, 2022 →

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