Tao Lin
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    • Generalized Principal-Agent Problem with a Learning Agent
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    • Bias Detection via Signaling
    • Multi-Sender Persuasion: A Computational Perspective
    • 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
    • Persuading a Behavioral Agent: Approximately Best Responding and Learning
    • Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
    • Robustness of Empirical Revenue Maximization in Auction Learning
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    • How Does Independence Help Generalization? Sample Complexity of ERM on Product Distributions
    • On Clearing Prices in Matching Markets: A Simple Characterization without Duality
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Learning Thresholds with Latent Values and Censored Feedback

May 1, 2024·
Jiahao Zhang
Tao Lin
Tao Lin
,
Weiqiang Zheng
,
Zhe Feng
,
Yifeng Teng
,
Xiaotie Deng
· 0 min read
PDF Cite URL
Type
Conference paper
Publication
International Conference on Learning Representations (ICLR)
Last updated on May 1, 2024
Tao Lin
Authors
Tao Lin
PhD student in Computer Science
← Multi-Sender Persuasion: A Computational Perspective Jul 1, 2024
Sample Complexity of Forecast Aggregation Dec 1, 2023 →

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