Auctions between Regret-Minimizing Agents

Author:

Kolumbus Yoav1,Nisan Noam1

Affiliation:

1. The Hebrew University, Israel

Funder

The European Research Council (ERC)

Publisher

ACM

Reference72 articles.

1. Response Prediction for Low-Regret Agents

2. Peter Auer , Nicolo Cesa-Bianchi , and Paul Fischer . 2002. Finite-time analysis of the multiarmed bandit problem. Machine learning 47, 2 ( 2002 ), 235–256. Peter Auer, Nicolo Cesa-Bianchi, and Paul Fischer. 2002. Finite-time analysis of the multiarmed bandit problem. Machine learning 47, 2 (2002), 235–256.

3. Adaptive and Self-Confident On-Line Learning Algorithms

4. James P Bailey Sai Ganesh Nagarajan and Georgios Piliouras. 2021. Stochastic Multiplicative Weights Updates in Zero-Sum Games. arXiv preprint arXiv:2110.02134(2021). James P Bailey Sai Ganesh Nagarajan and Georgios Piliouras. 2021. Stochastic Multiplicative Weights Updates in Zero-Sum Games. arXiv preprint arXiv:2110.02134(2021).

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1. The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations;Proceedings of the 56th Annual ACM Symposium on Theory of Computing;2024-06-10

2. Strategic Budget Selection in a Competitive Autobidding World;Proceedings of the 56th Annual ACM Symposium on Theory of Computing;2024-06-10

3. Liquid Welfare Guarantees for No-Regret Learning in Sequential Budgeted Auctions;Mathematics of Operations Research;2024-05-14

4. Budget-Constrained Auctions with Unassured Priors: Strategic Equivalence and Structural Properties;Proceedings of the ACM Web Conference 2024;2024-05-13

5. Liquid Welfare Guarantees for No-Regret Learning in Sequential Budgeted Auctions;Proceedings of the 24th ACM Conference on Economics and Computation;2023-07-07

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