Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms
Author:
Affiliation:
1. Peking University, China
2. Purdue University, USA
3. Zhejiang University, China
4. Tencent Technology (Shenzhen) Co., Ltd., China
Funder
Tencent Marketing Solution
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3543507.3583528
Reference42 articles.
1. Shipra Agrawal and Nikhil R Devanur . 2014 . Fast algorithms for online stochastic convex programming . In Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete algorithms. SIAM, 1405–1424 . Shipra Agrawal and Nikhil R Devanur. 2014. Fast algorithms for online stochastic convex programming. In Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete algorithms. SIAM, 1405–1424.
2. Adverse Selection and Auction Design for Internet Display Advertising
3. Peter M Aronow and Cyrus Samii . 2013. Estimating average causal effects under interference between units. arXiv preprint arXiv:1305.6156 3, 4 ( 2013 ), 16. Peter M Aronow and Cyrus Samii. 2013. Estimating average causal effects under interference between units. arXiv preprint arXiv:1305.6156 3, 4 (2013), 16.
4. Estimating average causal effects under general interference, with application to a social network experiment
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