Auto-bidding and Auctions in Online Advertising: A Survey

2024/08/14 by Aggarwal, Gagan, Badanidiyuru, Ashwinkumar, Balseiro, Santiago R. +23 · 11 citations
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences

paper · doi:10.48550/arxiv.2408.07685

Abstract

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.

Cited by

• On the Coordination of Value-Maximizing Bidders
• From Best Responses to Learning: Investment Efficiency in Dynamic Environment
• Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
• Autobidding Arena: unified evaluation of the classical and RL-based autobidding algorithms
• No-Regret Online Autobidding Algorithms in First-price Auctions
• Robust autobidding for noisy conversion prediction models
• Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification
• Risk-Averse and Optimistic Advertiser Incentive Compatibility in Auto-bidding
• Smart Fast Finish: Preventing Overdelivery via Daily Budget Pacing at DoorDash
• Counterfactual simulations for large scale systems with burnout variables
• Expert-Guided Diffusion Planner for Auto-Bidding

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• PlatformBid: An Auto-Bidding Benchmark from a Unified Advertising Platform's Perspective
• Vulnerabilities of Single-Round Incentive Compatibility in Auto-bidding: Theory and Evidence from ROI-Constrained Online Advertising Markets
• Truthful Auctions for Automated Bidding in Online Advertising
• Incentive Mechanism Design for ROI-constrained Auto-bidding
• Towards Efficient Auctions in an Auto-bidding World