From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction-Reference-Cited by-同舟云学术

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From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction

Published:2024-03-04 Issue: Volume:16 Page:295-303
ISSN:
Container-title:Proceedings of the 17th ACM International Conference on Web Search and Data Mining
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Author:

Huang Jiani¹^ORCID,Zheng Zhenzhe¹^ORCID,Kang Yanrong²^ORCID,Wang Zixiao¹^ORCID

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. Advertising & Marketing Service, Tencent, Shenzhen, China

Funder

China NSF grant

Tencent Rhino Bird Key Research Project

Science and Technology Innovation 2030 'New Generation Artificial Intelligence' Major Project

Alibaba Group through Alibaba Innovative Research Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616855.3635838

Reference45 articles.

1. AppNexus. 2017. Demystifying Auction Dynamics for Digital Buyers and Sellers. https://www.appnexus.com/sites/default/files/whitepapers/49344-CM-Auction-Type-Whitepaper-V9.pdf

2. Jason Bigler. 2019. Rolling out first price auctions to Google Ad Manager partners. Consulted at https://www. blog. google/products/admanager/rolling-out-first-price-auctions-google-ad-manager-partners (2019).

3. Hakan Bilen and Andrea Vedaldi. 2016. Integrated perception with recurrent multi-task neural networks. Advances in neural information processing systems 29 (2016).

4. Multitask Learning: A Knowledge-Based Source of Inductive Bias

5. How the US Treasury should auction its debt;Chari V;Federal Reserve Bank of Minneapolis Quarterly Review,1992

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