Advertising Incrementality Measurement using Controlled Geo-Experiments: The Universal App Campaign Case Study

Joel Barajas, Tom Zida, Mert Bay

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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

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Contextual Bandits for Advertising Budget Allocation

Benjamin Han and Jared Gabor

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Delayed Feedback Model with Negative Binomial Regression for Multiple Conversions

Youngmin Choi, Mugeun Kwon, Younjin Park, Jinsoo Oh, and Suyoung Kim

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Multi-Manifold Learning for Large-scale Targeted Advertising System

Kyuyong Shin, Young-Jin Park, Kyung-Min Kim, and Sunyoung Kwon

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Predicting conversions in display advertising based on URL embeddings

Yang Qiu, Nikolaos Tziortziotis, Martial Hue and Michalis Vazirgiannis

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Unbiased Lift-based Bidding System

Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito and Akira Matsui

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Beyond auction theory: Economic models relevant to computational advertising

Inbal Talgam-Cohen

Computational Advertising: Local vs. System’s thinking

Omar Besbes

Evolving Regulatory Trends and Their Impact on Ad Tech

Kamakshi Sivaramakrishnan, LinkedIn

Marketplace in Motion

Roelof van Zwol

An evaluation framework for personalization strategy experiment designs

C. H. Bryan Liu and Emma J. McCoy

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On the Effectiveness of Self-supervised Pre-training for Modeling User Behavior Sequences

Yiping Liao

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