Stochastic bandits for multi-platform budget optimization in online advertising

Author:

Avadhanula Vashist1,Colini Baldeschi Riccardo2,Leonardi Stefano3,Sankararaman Karthik Abinav1,Schrijvers Okke1

Affiliation:

1. Facebook, USA

2. Facebook, United Kingdom

3. Sapienza University of Rome, Italy

Publisher

ACM

Cited by 19 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. Adversarial Bandits With Multi-User Delayed Feedback: Theory and Application;IEEE Transactions on Mobile Computing;2024-10

2. Spending Programmed Bidding: Privacy-friendly Bid Optimization with ROI Constraint in Online Advertising;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

4. Addressing Non-Stationarity with Relaxed f-Discounted-Sliding-Window Thompson Sampling;2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS);2024-07-29

5. Adapting bandit algorithms for settings with sequentially available arms;Engineering Applications of Artificial Intelligence;2024-05

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