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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
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