| Relevance Constrained Re-ranking in Sponsored Listing Recommendations | Zhen Ge, Wei Zhou, Jesse Lute, and Adam Ilardi | PDF | Slides | Video | |
| Making Rewards More Rewarding: Sequential Learnable Environments for Deep Reinforcement Learning-based Sponsored Ranking | Chen Wang, Aidan Finn and Nishan Subedi | PDF | Slides | Video | |
| Estimating the instantaneous survival rate of digital advertising and marketing IDs: LIFESPAN by Cox-Proportional | Nilamadhaba Mohapatra, Humeil Makhija and Swapnasarit Sahu | PDF | Slides | Video | |
| Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling | Edwin Ng, Zhishi Wang and Athena Dai | PDF | Slides | Video | |
| Estimating True Post-Click Conversion via Group-stratified Counterfactual Inference | Tiankai Gu, Kun Kuang, Hong Zhu, Jingjie Li, Zhenhua Dong, Wenjie Hu, Zhenguo Li, Xiuqiang He and Yue Liu | PDF | Slides | Video | |
| Learning a logistic model from aggregated data | Alexandre Gilotte and David Rohde | PDF | Slides | Video | |
| Multigraph Approach Towards a Scalable, Robust look-alikeAudience Extension System | Ernest Kirubakaran Selvaraj, Tushar Agarwal, Nilamadhaba Mohapatra and Swapnasarit Sahu | PDF | Slides | Video | |
| Modeling labels for conversion value prediction | Ashwinkumar Badanidiyuru and Guru Guruganesh | PDF | Slides | Video | |
| Hybrid Dual Censored Joint Learning of Reserve Prices and Bids for Upstream Auctioneers | Piyush Paliwal and Lampros Stavrogiannis | PDF | Slides | Video | |
| Handling many conversions per click in modeling delayed feedback | Ashwinkumar Badanidiyuru, Andrew Evdokimov, Vinodh Krishnan, Pan Li, Wynn Vonnegut and Jayden Wang | 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 | |
| Contextual Bandits for Advertising Budget Allocation | Benjamin Han and Jared Gabor | 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 | |
| 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 | |
| Delayed Feedback Model with Negative Binomial Regression for Multiple Conversions | Youngmin Choi, Mugeun Kwon, Younjin Park, Jinsoo Oh, and Suyoung Kim | PDF | Slides | Video | |
| Evolving Regulatory Trends and Their Impact on Ad Tech | Kamakshi Sivaramakrishnan, LinkedIn | | | | |
| Computational Advertising: Local vs. System’s thinking | Omar Besbes | | | | |
| Marketplace in Motion | Roelof van Zwol | | | | |
| Beyond auction theory: Economic models relevant to computational advertising | Inbal Talgam-Cohen | | | | |
| 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 | Yiping Liao | PDF | Slides | Video | |
| Time-Aware Prospective Modeling of Users for Online Display Advertising | Djordje Gligorijevic, Jelena Gligorijevic and Aaron Flores | PDF | Slides | | |
| Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network | Ruihuan Du, Yu Zhong, Harikesh Nair, Bo Cui and Ruyang Shou | PDF | Slides | | |
| Feasible Bidding Strategies through Pure Exploration Bandits | Abraham Bagherjeiran and Juliann Katz-Samuels | PDF | Slides | | |
| Optimal bidding: a dual approach | Carlos Pita | PDF | Slides | | |
| Learning from Multi-User Activity Trails for B2B Ad Targeting | Shaunak Mishra, Jelena Gligorijevic and Narayan Bhamidipati | PDF | Slides | | |
| Combinatorial Keyword Recommendations for Sponsored Search with Deep Reinforcement Learning | Zhipeng Li, Jianwei Wu, Lin Sun and Tao Rong | PDF | | | |
| In-app Purchase Prediction Using Bayesian Personalized DwellDay Ranking | Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada and Hisashi Kashima | PDF | | | |
| Modeling Advertiser Bidding Behaviors in Google Sponsored Search with a Mirror Attention Mechanism | Suqi Liu, Liang Liu, Sugato Basu and Jean-François Crespo | PDF | Slides | | |
| From the Clouds to the Trenches: Learning to Manage the Marketplace | Eren Manavoglu | | Slides | | |
| Budgeting and Bidding in Ad Systems: Theory and Practice | Aranyak Mehta | | Slides | | |
| Designing Auctions for Search Ads | Kshipra Bhawalkar Lane | | Slides | | |
| Taobao Display Advertising: Some recent tech advances | Jian Xu | | Slides | | |
| Tencent Ads: Interesting Problems and Unique Challenges | Haishan Liu | | Slides | | |
| On the causality of advertising | Vincenzo D’Elia | | Slides | | |
| Graphing Crumbling Cookies | Matthew Malloy, Jon Koller and Aaron Cahn | PDF | Slides | | |
| Optimal Bidding, Allocation and Budget Spending for a Demand Side Platform Under Many Auction Types | Alfonso Lobos, Paul Grigas, Zheng Wen and Kuang-Chih Lee. | PDF | | | |
| Mini-Batch AUC Optimization | Sam Gultekin, Adwait Ratnaparkhi, Abishek Saha, and John Paisley | PDF | | | |
| Forecasting Granular Audience Size for Online Advertising | Ritwik Sinha, Dhruv Singal, Pranav Maneriker, Kushal Chawla, Yash Shrivastava, Deepak Pai and Atanu Ranjan Sinha. | PDF | | | |
| Dynamic Hierarchical Empirical Bayes: A Predictive Model Applied to Online Advertising | Yuan Yuan, Xiaojing Dong, Chen Dong, Yiwen Sun, Zhenyu Yan and Abhishek Pani | PDF | | | |
| Designing Experiments to Measure Incrementality on Facebook | C. H. Bryan Liu, Elaine M. Bettaney and Benjamin Paul Chamberlain. | PDF | | | |
| Deep Policy Optimization for E-commerce Sponsored Search Ranking Strategy | Li He, Liang Wang, Kaipeng Liu and Weinan Zhang | PDF | | | |
| Deep Neural Net with Attention for Multi-channel Multi-touch Attribution | Ning Li, Sai Kumar Arava, Chen Dong, William Yan, Abhishek Pani and Linda Boyle. | PDF | | | |
| A Large Scale Benchmark for Uplift Modeling | Eustache Diemert, Artem Betlei, Christophe Renaudin and Massih-Reza Amini. | PDF | | | |
| Deep density networks and uncertainty in recommender systems | Yoel Zeldes, Stavros Theodorakis, Efrat Solodnik, Aviv Rotman, Gil Chamiel and Dan Friedman | PDF | | | |
| Optimal Reserve Price for Online Ads Trading Based on Inventory Identification | Zhihui Xie, Kuang-Chih Lee, and Liang Wang | PDF | Slides | | |
| Deep & Cross Network for Ad Click Predictions | Ruoxi Wang, Bin Fu, Gang Fu, and Mingliang Wang | PDF | Slides | | |
| Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions | Flavian Vasile, Damien Lefortier, and Olivier Chapelle | PDF | Slides | | |
| A Practical Framework of Conversion Rate Prediction for Online Display Advertising | Quan Lu, Shengjun Pan, Liang Wang, Junwei Pan, Fengdan Wan, and Hongxia Yang | PDF | Slides | | |
| Profit Maximization for Online Advertising Demand-Side Platforms | Paul Grigas, Alfonso Lobos, Zheng Wen, and Kuang-chih Lee | PDF | Slides | | |
| Data-Driven Reserve Prices for Social Advertising Auctions at LinkedIn | Tingting Cui, Lijun Peng, David Pardoe, Kun Liu, Deepak Agarwal, and Deepak Kumar | PDF | Slides | | |
| Ranking and Calibrating Click-Attributed Purchases in Performance Display Advertising | Sougata Chaudhuri, Abraham Bagherjeiran, James Liu | PDF | Slides | | |
| An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy | Kamelia Aryafar, Devin Guillory, and Liangjie Hong | PDF | Slides | | |
| MM2RTB: Bringing Multimedia Metrics to Real-Time Bidding | Xiang Chen (National University of Singapore), Bowei Chen (University of Lincoln), Mohan Kankanhalli (National University of Singapore) | PDF | Slides | | |
| Anti-Ad Blocking Strategy: Measuring its True Impact | Atanu R. Sinha (Adobe Research), Meghanath Macha (CMU), Pranav Maneriker (Adobe Research), Sopan Khosla (IIT Roorkee), Avani Samdariya (IIT Kanpur), Navjot Singh (IIT Bombay) | PDF | Slides | | |
| Blacklisting the Blacklist in Online Advertising | Yeming Shi, Ori Stitelman, Claudia Perlich (Dstillery) | PDF | Slides | | |
| Attribution Modeling Increases Efficiency of Bidding in Display Advertising | Eustache Diemert, Julien Meynet (Criteo Research), Damien Lefortier (Facebook), Pierre Galland (Criteo) | PDF | Slides | Video | |
| Learning from Logged Interventions | Adith Swaminathan, Damien Lefortier, Maarten De Rijke, Artem Grotov, Xiaotao Gu, and Thorsten Joachims | | Slides | | |
| Machine Learning and Causal Inference: Applications to Advertising Effectiveness | Susan Athey | | Slides | | |