Advertising Incrementality Measurement using Controlled Geo-Experiments: The Universal App Campaign Case Study | Joel Barajas, Tom Zida, Mert Bay | | PDF | Slides | Video |
Bid Shading by Win-Rate Estimation and Surplus Maximization | Shengjun Pan, Brendan Kitts, Tian Zhou, Hao He, Bharatbhushan Shetty, Aaron Flores, Djordje Gligorijevic, Junwei Pan, Tingyu Mao, San Gultekin, Jianlong Zhang | | PDF | Slides | Video |
Contextual Bandits for Advertising Budget Allocation | Benjamin Han and Jared Gabor | | PDF | Slides | Video |
Delayed Feedback Model with Negative Binomial Regression for Multiple Conversions | Youngmin Choi, Mugeun Kwon, Younjin Park, Jinsoo Oh, and Suyoung Kim | | PDF | Slides | Video |
Multi-Manifold Learning for Large-scale Targeted Advertising System | Kyuyong Shin, Young-Jin Park, Kyung-Min Kim, and Sunyoung Kwon | | PDF | Slides | Video |
Predicting conversions in display advertising based on URL embeddings | Yang Qiu, Nikolaos Tziortziotis, Martial Hue and Michalis Vazirgiannis | | PDF | Slides | Video |
Unbiased Lift-based Bidding System | Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito and Akira Matsui | | PDF | Slides | Video |
Beyond auction theory: Economic models relevant to computational advertising | | | | | |
Computational Advertising: Local vs. System’s thinking | | | | | |
Evolving Regulatory Trends and Their Impact on Ad Tech | Kamakshi Sivaramakrishnan, LinkedIn | | | | |
Marketplace in Motion | | | | | |
An evaluation framework for personalization strategy experiment designs | C. H. Bryan Liu and Emma J. McCoy | | PDF | Slides | Video |
On the Effectiveness of Self-supervised Pre-training for Modeling User Behavior Sequences | | | PDF | Slides | Video |
