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Mid-flight Forecasting for CPA Lines in Online Advertising

Jul 15, 2021
Hao He, Tian Zhou, Lihua Ren, Niklas Karlsson, Aaron Flores

* 41st International Symposium on Forecasting, June 27-30, 2021 

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An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions

Jul 15, 2021
Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores

* In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21), August 14-18, 2021, Singapore 

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$FM^2$: Field-matrixed Factorization Machines for Recommender Systems

Feb 20, 2021
Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores

* In Proceedings of the Web Conference 2021 (WWW 2021), April 19-23, 2021, Ljubljana, Slovenia. 10 pages 

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Bid Shading by Win-Rate Estimation and Surplus Maximization

Sep 19, 2020
Shengjun Pan, Brendan Kitts, Tian Zhou, Hao He, Bharatbhushan Shetty, Aaron Flores, Djordje Gligorijevic, Junwei Pan, Tingyu Mao, San Gultekin, Jianlong Zhang

* AdKDD 2020 

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Bid Shading in The Brave New World of First-Price Auctions

Sep 02, 2020
Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores

* In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM'20), October 19-23, 2020, Virtual Event, Ireland 

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Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions

Jul 09, 2020
Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman

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A Sparse Deep Factorization Machine for Efficient CTR prediction

Feb 17, 2020
Wei Deng, Junwei Pan, Tian Zhou, Aaron Flores, Guang Lin

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Time-Aware Prospective Modeling of Users for Online Display Advertising

Nov 12, 2019
Djordje Gligorijevic, Jelena Gligorijevic, Aaron Flores

* Accepted at AdKDD 2019 workshop at KDD'19 conference, Anchorage, Alaska, USA 

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Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising

Jul 24, 2019
Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores

* SIGKDD 2019 

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