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Papers and Talks - AdKDD

2021

Title
Authors
Type
PDF
Slides
Video
Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
Edwin Ng, Zhishi Wang and Athena Dai
Paper
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
Paper
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
Paper
PDF
Slides
Video
Learning a logistic model from aggregated data
Alexandre Gilotte and David Rohde
Paper
PDF
Slides
Video
Making Rewards More Rewarding: Sequential Learnable Environments for Deep Reinforcement Learning-based Sponsored Ranking
Chen Wang, Aidan Finn and Nishan Subedi
Paper
PDF
Slides
Video
Modeling labels for conversion value prediction
Ashwinkumar Badanidiyuru and Guru Guruganesh
Paper
PDF
Slides
Video
Multigraph Approach Towards a Scalable, Robust look-alikeAudience Extension System
Ernest Kirubakaran Selvaraj, Tushar Agarwal, Nilamadhaba Mohapatra and Swapnasarit Sahu
Paper
PDF
Slides
Video
Relevance Constrained Re-ranking in Sponsored Listing Recommendations
Zhen Ge, Wei Zhou, Jesse Lute, and Adam Ilardi
Paper
PDF
Slides
Video
Hybrid Dual Censored Joint Learning of Reserve Prices and Bids for Upstream Auctioneers
Piyush Paliwal and Lampros Stavrogiannis
Best Paper
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
Audience Choice Paper
PDF
Slides
Video
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