Aaron Flores

According to our database, Aaron Flores authored at least 24 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Nonlinear Kalman Filtering with Reparametrization Gradients.

San Gultekin, Brendan Kitts, Aaron Flores, John W. Paisley

CoRR, 2023

2022

Predicting Actions of Users Using Heterogeneous Online Signals.

Djordje Gligorijevic, Jelena Gligorijevic, Aaron Flores

Big Data, 2022

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

Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Mid-flight Forecasting for CPA Lines in Online Advertising.

Hao He, Tian Zhou, Lihua Ren, Niklas Karlsson, Aaron Flores

CoRR, 2021

FM²: Field-matrixed Factorization Machines for Recommender Systems.

Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores

CoRR, 2021

FM2: Field-matrixed Factorization Machines for Recommender Systems.

Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores

Proceedings of the WWW '21: The Web Conference 2021, 2021

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.

Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin

Proceedings of the WSDM '21, 2021

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

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm.

Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

CoRR, 2020

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

Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman

CoRR, 2020

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.

Wei Deng, Junwei Pan, Tian Zhou, Aaron Flores, Guang Lin

CoRR, 2020

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

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model.

Djordje Gligorijevic, Jelena Gligorijevic, Aaron Flores

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Time-Aware Prospective Modeling of Users for Online Display Advertising.

Djordje Gligorijevic, Jelena Gligorijevic, Aaron Flores

CoRR, 2019

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

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

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2016

Experimental Designs and Estimation for Online Display Advertising Attribution in Marketplaces.

Joel Barajas, Ram Akella, Marius Holtan, Aaron Flores

Mark. Sci., 2016

2015

Estimating Ad Impact on Clicker Conversions for Causal Attribution: A Potential Outcomes Approach.

Joel Barajas, Ram Akella, Aaron Flores, Marius Holtan

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2013

Dynamic evaluation of online display advertising with randomized experiments: an aggregated approach.

Joel Barajas, Ram Akella, Marius Holtan, Jaimie Kwon, Aaron Flores, Victor Andrei

Proceedings of the 22nd International World Wide Web Conference, 2013

2012

Impact of ad impressions on dynamic commercial actions: value attribution in marketing campaigns.

Joel Barajas, Ram Akella, Marius Holtan, Jaimie Kwon, Aaron Flores, Victor Andrei

Proceedings of the 21st World Wide Web Conference, 2012

Dynamic effects of ad impressions on commercial actions in display advertising.

Joel Barajas, Ram Akella, Marius Holtan, Jaimie Kwon, Aaron Flores, Victor Andrei

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Measuring dynamic effects of display advertising in the absence of user tracking information.

Joel Barajas, Jaimie Kwon, Ram Akella, Aaron Flores, Marius Holtan, Victor Andrei

Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy, 2012

Marketing campaign evaluation in targeted display advertising.

Joel Barajas, Jaimie Kwon, Ram Akella, Aaron Flores, Marius Holtan, Victor Andrei

Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy, 2012

2007

Pattern Recognition of Sleep in Rodents Using Piezoelectric Signals Generated by Gross Body Movements.

Aaron E. Flores, Judith E. Flores, Hrishikesh Deshpande, Jorge A. Picazo, Xinmin Xie, Paul Franken, H. Craig Heller, Dennis A. Grahn, Bruce F. O'Hara

IEEE Trans. Biomed. Eng., 2007