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Aaron Flores

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Nonlinear Kalman Filtering with Reparametrization Gradients

Mar 08, 2023
San Gultekin, Brendan Kitts, Aaron Flores, John Paisley

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Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions

Nov 05, 2022
Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman

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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

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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

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

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

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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

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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

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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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