A General Theory of Sample Complexity for Multi-Item Profit Maximization
Author:
Affiliation:
1. Carnegie Mellon University, Pittsburgh, PA, USA
Funder
Amazon
Army Research Office
Microsoft Research
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3219166.3219217
Cited by 13 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. Generalization Guarantees for Multi-Item Profit Maximization: Pricing, Auctions, and Randomized Mechanisms;Operations Research;2023-12-13
2. Private Data Manipulation in Sponsored Search Auctions;CAAI Artificial Intelligence Research;2023-12
3. On the Sample Complexity of Storage Control;IEEE Transactions on Smart Grid;2023-11
4. A Learning Framework for Distribution-Based Game-Theoretic Solution Concepts;ACM Transactions on Economics and Computation;2023-03-31
5. Targeting Makes Sample Efficiency in Auction Design;Proceedings of the 22nd ACM Conference on Economics and Computation;2021-07-18
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