Auto-bidding and Auctions in Online Advertising: A Survey
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arXiv
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2024
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| author | Aggarwal, Gagan Badanidiyuru, Ashwinkumar Balseiro, Santiago R. Bhawalkar, Kshipra Deng, Yuan Feng, Zhe Goel, Gagan Liaw, Christopher Lu, Haihao Mahdian, Mohammad Mao, Jieming Mehta, Aranyak Mirrokni, Vahab Leme, Renato Paes Perlroth, Andres Piliouras, Georgios Schneider, Jon Schvartzman, Ariel Sivan, Balasubramanian Spendlove, Kelly Teng, Yifeng Wang, Di Zhang, Hanrui Zhao, Mingfei Zhu, Wennan Zuo, Song |
| author_facet | Aggarwal, Gagan Badanidiyuru, Ashwinkumar Balseiro, Santiago R. Bhawalkar, Kshipra Deng, Yuan Feng, Zhe Goel, Gagan Liaw, Christopher Lu, Haihao Mahdian, Mohammad Mao, Jieming Mehta, Aranyak Mirrokni, Vahab Leme, Renato Paes Perlroth, Andres Piliouras, Georgios Schneider, Jon Schvartzman, Ariel Sivan, Balasubramanian Spendlove, Kelly Teng, Yifeng Wang, Di Zhang, Hanrui Zhao, Mingfei Zhu, Wennan Zuo, Song |
| contents | In this survey, we summarize recent developments in research fueled by the growing adoption of automated bidding strategies in online advertising. We explore the challenges and opportunities that have arisen as markets embrace this autobidding and cover a range of topics in this area, including bidding algorithms, equilibrium analysis and efficiency of common auction formats, and optimal auction design. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_07685 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Auto-bidding and Auctions in Online Advertising: A Survey Aggarwal, Gagan Badanidiyuru, Ashwinkumar Balseiro, Santiago R. Bhawalkar, Kshipra Deng, Yuan Feng, Zhe Goel, Gagan Liaw, Christopher Lu, Haihao Mahdian, Mohammad Mao, Jieming Mehta, Aranyak Mirrokni, Vahab Leme, Renato Paes Perlroth, Andres Piliouras, Georgios Schneider, Jon Schvartzman, Ariel Sivan, Balasubramanian Spendlove, Kelly Teng, Yifeng Wang, Di Zhang, Hanrui Zhao, Mingfei Zhu, Wennan Zuo, Song Computer Science and Game Theory In this survey, we summarize recent developments in research fueled by the growing adoption of automated bidding strategies in online advertising. We explore the challenges and opportunities that have arisen as markets embrace this autobidding and cover a range of topics in this area, including bidding algorithms, equilibrium analysis and efficiency of common auction formats, and optimal auction design. |
| title | Auto-bidding and Auctions in Online Advertising: A Survey |
| topic | Computer Science and Game Theory |
| url | https://arxiv.org/abs/2408.07685 |