Variance Reduction Using In-Experiment Data: Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes-Reference-Cited by-同舟云学术

Variance Reduction Using In-Experiment Data: Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Deng Alex¹^ORCID,Du Michelle²^ORCID,Matlin Anna²^ORCID,Zhang Qing²^ORCID

Affiliation:

1. Airbnb, Seattle, WA, USA

2. Airbnb, San Francisco, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599928

Reference45 articles.

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2. George Casella and Roger L Berger . 2002. Statistical Inference . Duxbury Press : Pacific Grove, CA . George Casella and Roger L Berger. 2002. Statistical Inference. Duxbury Press: Pacific Grove, CA.

3. Modeling delayed feedback in display advertising

4. Laura Cosgrove Jen Townsend and Jonathan Litz. [n. d.]. Deep Dive Into Variance Reduction. https://www.microsoft.com/en-us/research/group/experimentation-platform-exp/articles/deep-dive-into-variance-reduction/. Laura Cosgrove Jen Townsend and Jonathan Litz. [n. d.]. Deep Dive Into Variance Reduction. https://www.microsoft.com/en-us/research/group/experimentation-platform-exp/articles/deep-dive-into-variance-reduction/.

5. The YouTube video recommendation system

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