Learning in auctions: Regret is hard, envy is easy-Reference-Cited by-同舟云学术

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Learning in auctions: Regret is hard, envy is easy

Published:2022-07 Issue: Volume:134 Page:308-343
ISSN:0899-8256
Container-title:Games and Economic Behavior
language:en
Short-container-title:Games and Economic Behavior

Author:

Daskalakis Constantinos,Syrgkanis Vasilis

Funder

National Science Foundation

Microsoft Research

Publisher

Elsevier BV

Subject

Economics and Econometrics,Finance

Reference49 articles.

1. Gambling in a rigged casino: the adversarial multi-armed bandit problem;Auer,1995

2. The lovely but lonely Vickrey auction;Ausubel;Comb. Auct.,2006

3. Improved truthful mechanisms for combinatorial auctions with submodular bidders;Assadi;ACM SIGecom Exch.,2020

4. Commitment without regrets: online learning in Stackelberg security games;Balcan,2015

5. Regret analysis of stochastic and nonstochastic multi-armed bandit problems;Bubeck;Mach. Learn.,2012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. No-Regret Learning in Bilateral Trade via Global Budget Balance;Proceedings of the 56th Annual ACM Symposium on Theory of Computing;2024-06-10

2. Smoothed Analysis of Online Non-parametric Auctions;Proceedings of the 24th ACM Conference on Economics and Computation;2023-07-07

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