Accepted Papers

AdKDD Papers

Papers accepted at the AdKDD workshops for all previous years. If your paper appeared at AdKDD prior to 2017 or you would like us to host your slides, please contact us to have it appear here.

Year	Title	Authors	PDF	Slides	Video	Type
2022	Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation	Shion Ishikawa, Young-joo Chung and Yu Hirate	PDF	Slides	Video	Paper
2022	Bidding Agent Design in the LinkedIn Ad Marketplace	Yuan Gao, Kaiyu Yang, Yuanlong Chen, Min Liu and Noureddine El Karoui	PDF	Slides	Video	Paper
2022	Multimodal Transformers for Detecting Bad Quality Ads on YouTube	Vijaya Teja Rayavarapu, Bharath Bhat, Myra Nam, Vikas Bahirwani and Shobha Diwakar	PDF		Video	Paper
2022	B2B Advertising: Joint Dynamic Scoring of Account and Users	Atanu R. Sinha, Gautam Choudhary, Mansi Agarwal, Shivansh Bindal, Abhishek Pande and Camille Girabawe	PDF	Slides	Video	Paper
2022	Show me the Money: Measuring Marketing Performance in F2P Games using Apple's App Tracking Transparency Framework	Frederick Ayala-Gómez, Ismo Horppu, Erlin Gülbenkoğlu, Vesa Siivola and Balázs Pejó	PDF	Slides	Video	Paper
2022	Programmatic optimization of ad pods for maximizing consumer engagement and revenue	Niranjan Kumawat, Manu Vajpai and Nitish Varshney	PDF	Slides	Video	Paper
2022	Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction	Xianghang Liu, Bartłomiej Twardowski and Tri Kurniawan Wijaya	PDF	Slides	Video	Paper
2022	Learning Similarity Preserving Binary Codes for Recommender Systems	Yang Shi and Young Joo Chung	PDF	Slides	Video	Paper
2022	Learning to Bid with AuctionGym	Olivier Jeunen, Sean Murphy and Ben Allison	PDF	Slides	Video	Best Paper
2021	Making Rewards More Rewarding: Sequential Learnable Environments for Deep Reinforcement Learning-based Sponsored Ranking	Chen Wang, Aidan Finn and Nishan Subedi	PDF	Slides	Video	Paper
2021	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	Paper
2021	Multigraph Approach Towards a Scalable, Robust look-alikeAudience Extension System	Ernest Kirubakaran Selvaraj, Tushar Agarwal, Nilamadhaba Mohapatra and Swapnasarit Sahu	PDF	Slides	Video	Paper
2021	Learning a logistic model from aggregated data	Alexandre Gilotte and David Rohde	PDF	Slides	Video	Paper
2021	Relevance Constrained Re-ranking in Sponsored Listing Recommendations	Zhen Ge, Wei Zhou, Jesse Lute, and Adam Ilardi	PDF	Slides	Video	Paper
2021	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	Paper
2021	Modeling labels for conversion value prediction	Ashwinkumar Badanidiyuru and Guru Guruganesh	PDF	Slides	Video	Paper
2021	Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling	Edwin Ng, Zhishi Wang and Athena Dai	PDF	Slides	Video	Paper
2021	Hybrid Dual Censored Joint Learning of Reserve Prices and Bids for Upstream Auctioneers	Piyush Paliwal and Lampros Stavrogiannis	PDF	Slides	Video	Best Paper
2021	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	Audience Choice Paper
2020	Unbiased Lift-based Bidding System	Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito and Akira Matsui	PDF	Slides	Video	Paper
2020	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	Paper
2020	Predicting conversions in display advertising based on URL embeddings	Yang Qiu, Nikolaos Tziortziotis, Martial Hue and Michalis Vazirgiannis	PDF	Slides	Video	Paper
2020	Delayed Feedback Model with Negative Binomial Regression for Multiple Conversions	Youngmin Choi, Mugeun Kwon, Younjin Park, Jinsoo Oh, and Suyoung Kim	PDF	Slides	Video	Paper
2020	Advertising Incrementality Measurement using Controlled Geo-Experiments: The Universal App Campaign Case Study	Joel Barajas, Tom Zida, Mert Bay	PDF	Slides	Video	Paper
2020	Contextual Bandits for Advertising Budget Allocation	Benjamin Han and Jared Gabor	PDF	Slides	Video	Paper
2020	Multi-Manifold Learning for Large-scale Targeted Advertising System	Kyuyong Shin, Young-Jin Park, Kyung-Min Kim, and Sunyoung Kwon	PDF	Slides	Video	Paper
2020	Beyond auction theory: Economic models relevant to computational advertising	Inbal Talgam-Cohen				Keynote
2020	Computational Advertising: Local vs. System’s thinking	Omar Besbes				Keynote
2020	Evolving Regulatory Trends and Their Impact on Ad Tech	Kamakshi Sivaramakrishnan, LinkedIn				Keynote
2020	Marketplace in Motion	Roelof van Zwol				Keynote
2020	An evaluation framework for personalization strategy experiment designs	C. H. Bryan Liu and Emma J. McCoy	PDF	Slides	Video	Best Student Paper
2020	On the Effectiveness of Self-supervised Pre-training for Modeling User Behavior Sequences	Yiping Liao	PDF	Slides	Video	Best Paper
2019	Time-Aware Prospective Modeling of Users for Online Display Advertising	Djordje Gligorijevic, Jelena Gligorijevic and Aaron Flores	PDF	Slides		Top Paper
2019	Feasible Bidding Strategies through Pure Exploration Bandits	Abraham Bagherjeiran and Juliann Katz-Samuels	PDF	Slides		Paper
2019	In-app Purchase Prediction Using Bayesian Personalized DwellDay Ranking	Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada and Hisashi Kashima	PDF			Paper
2019	Optimal bidding: a dual approach	Carlos Pita	PDF	Slides		Paper
2019	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		Paper
2019	Learning from Multi-User Activity Trails for B2B Ad Targeting	Shaunak Mishra, Jelena Gligorijevic and Narayan Bhamidipati	PDF	Slides		Paper
2019	Combinatorial Keyword Recommendations for Sponsored Search with Deep Reinforcement Learning	Zhipeng Li, Jianwei Wu, Lin Sun and Tao Rong	PDF			Paper
2019	Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network	Ruihuan Du, Yu Zhong, Harikesh Nair, Bo Cui and Ruyang Shou	PDF	Slides		Paper
2019	Budgeting and Bidding in Ad Systems: Theory and Practice	Aranyak Mehta		Slides		Keynote
2019	From the Clouds to the Trenches: Learning to Manage the Marketplace	Eren Manavoglu		Slides		Keynote
2019	Designing Auctions for Search Ads	Kshipra Bhawalkar Lane		Slides		Keynote
2019	On the causality of advertising	Vincenzo D’Elia		Slides		Invited Talk
2019	Tencent Ads: Interesting Problems and Unique Challenges	Haishan Liu		Slides		Invited Talk
2019	Taobao Display Advertising: Some recent tech advances	Jian Xu		Slides		Invited Talk
2019	Graphing Crumbling Cookies	Matthew Malloy, Jon Koller and Aaron Cahn	PDF	Slides		Best Paper
2018	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			Top Paper
2018	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			Paper
2018	A Large Scale Benchmark for Uplift Modeling	Eustache Diemert, Artem Betlei, Christophe Renaudin and Massih-Reza Amini.	PDF			Paper
2018	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			Paper
2018	Mini-Batch AUC Optimization	Sam Gultekin, Adwait Ratnaparkhi, Abishek Saha, and John Paisley	PDF			Paper
2018	Deep Policy Optimization for E-commerce Sponsored Search Ranking Strategy	Li He, Liang Wang, Kaipeng Liu and Weinan Zhang	PDF			Paper
2018	Forecasting Granular Audience Size for Online Advertising	Ritwik Sinha, Dhruv Singal, Pranav Maneriker, Kushal Chawla, Yash Shrivastava, Deepak Pai and Atanu Ranjan Sinha.	PDF			Paper
2018	Designing Experiments to Measure Incrementality on Facebook	C. H. Bryan Liu, Elaine M. Bettaney and Benjamin Paul Chamberlain.	PDF			Paper
2018	Deep density networks and uncertainty in recommender systems	Yoel Zeldes, Stavros Theodorakis, Efrat Solodnik, Aviv Rotman, Gil Chamiel and Dan Friedman	PDF			Best Paper
2017	Profit Maximization for Online Advertising Demand-Side Platforms	Paul Grigas, Alfonso Lobos, Zheng Wen, and Kuang-chih Lee	PDF	Slides		Paper
2017	Blacklisting the Blacklist in Online Advertising	Yeming Shi, Ori Stitelman, Claudia Perlich (Dstillery)	PDF	Slides		Paper
2017	Attribution Modeling Increases Efficiency of Bidding in Display Advertising	Eustache Diemert, Julien Meynet (Criteo Research), Damien Lefortier (Facebook), Pierre Galland (Criteo)	PDF	Slides	Video	Paper
2017	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		Paper
2017	Optimal Reserve Price for Online Ads Trading Based on Inventory Identification	Zhihui Xie, Kuang-Chih Lee, and Liang Wang	PDF	Slides		Paper
2017	Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions	Flavian Vasile, Damien Lefortier, and Olivier Chapelle	PDF	Slides		Paper
2017	Ranking and Calibrating Click-Attributed Purchases in Performance Display Advertising	Sougata Chaudhuri, Abraham Bagherjeiran, James Liu	PDF	Slides		Paper
2017	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		Paper
2017	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		Paper
2017	An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy	Kamelia Aryafar, Devin Guillory, and Liangjie Hong	PDF	Slides		Paper
2017	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		Paper
2017	Deep & Cross Network for Ad Click Predictions	Ruoxi Wang, Bin Fu, Gang Fu, and Mingliang Wang	PDF	Slides		Paper
2017	Learning from Logged Interventions	Adith Swaminathan, Damien Lefortier, Maarten De Rijke, Artem Grotov, Xiaotao Gu, and Thorsten Joachims	null	Slides	null	Keynote
2017	Machine Learning and Causal Inference: Applications to Advertising Effectiveness	Susan Athey		Slides	null	Keynote