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.
@article{arxiv.2408.07685,
title = {Auto-bidding and Auctions in Online Advertising: A Survey},
author = {Gagan Aggarwal and Ashwinkumar Badanidiyuru and Santiago R. Balseiro and Kshipra Bhawalkar and Yuan Deng and Zhe Feng and Gagan Goel and Christopher Liaw and Haihao Lu and Mohammad Mahdian and Jieming Mao and Aranyak Mehta and Vahab Mirrokni and Renato Paes Leme and Andres Perlroth and Georgios Piliouras and Jon Schneider and Ariel Schvartzman and Balasubramanian Sivan and Kelly Spendlove and Yifeng Teng and Di Wang and Hanrui Zhang and Mingfei Zhao and Wennan Zhu and Song Zuo},
journal= {arXiv preprint arXiv:2408.07685},
year = {2024}
}