Aaron Flores - RankMe

30 papers A* 5A 5Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Double Distributionally Robust Bid Shading for First Price Auctions. CoRR Yanlin Qu, Ravi Kant, Yan Chen, Brendan Kitts, San Gultekin, Aaron Flores, Jose H. Blanchet
2024	—	`conf`	Nonlinear Kalman Filtering with Reparametrization Gradients. ICFSP San Gultekin, Brendan Kitts, Aaron Flores, John Paisley
2024	J	`jnl`	Optimal Downsampling for Imbalanced Classification with Generalized Linear Models. CoRR Yan Chen, Jose H. Blanchet, Krzysztof Dembczynski, Laura Fee Nern, Aaron Flores
2023	J	`jnl`	Nonlinear Kalman Filtering with Reparametrization Gradients. CoRR San Gultekin, Brendan Kitts, Aaron Flores, John W. Paisley
2022	A*	`conf`	Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. NeurIPS Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
2022	J	`jnl`	Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. CoRR Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
2022	J	`jnl`	Predicting Actions of Users Using Heterogeneous Online Signals. Big Data Djordje Gligorijevic, Jelena Gligorijevic, Aaron Flores
2021	A*	`conf`	An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions. KDD Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores
2021	J	`jnl`	An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions. CoRR Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores
2021	A	`conf`	DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. WSDM Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin
2021	J	`jnl`	FM CoRR Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores
2021	A*	`conf`	FM2: Field-matrixed Factorization Machines for Recommender Systems. WWW Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores
2021	A*	`conf`	MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm. KDD Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman
2021	J	`jnl`	Mid-flight Forecasting for CPA Lines in Online Advertising. CoRR Hao He, Tian Zhou, Lihua Ren, Niklas Karlsson, Aaron Flores
2020	J	`jnl`	Bid Shading by Win-Rate Estimation and Surplus Maximization. CoRR Shengjun Pan, Brendan Kitts, Tian Zhou, Hao He, Bharatbhushan Shetty, Aaron Flores, Djordje Gligorijevic, Junwei Pan, Tingyu Mao, San Gultekin, Jianlong Zhang
2020	A	`conf`	Bid Shading in The Brave New World of First-Price Auctions. CIKM Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores
2020	J	`jnl`	Bid Shading in The Brave New World of First-Price Auctions. CoRR Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores
2020	J	`jnl`	DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. CoRR Wei Deng, Junwei Pan, Tian Zhou, Aaron Flores, Guang Lin
2020	J	`jnl`	Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions. CoRR Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman
2020	A	`conf`	Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model. CIKM Djordje Gligorijevic, Jelena Gligorijevic, Aaron Flores
2019	A*	`conf`	Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising. KDD Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores
2019	J	`jnl`	Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising. CoRR Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores
2019	J	`jnl`	Time-Aware Prospective Modeling of Users for Online Display Advertising. CoRR Djordje Gligorijevic, Jelena Gligorijevic, Aaron Flores
2016	J	`jnl`	Experimental Designs and Estimation for Online Display Advertising Attribution in Marketplaces. Mark. Sci. Joel Barajas, Ram Akella, Marius Holtan, Aaron Flores
2015	A	`conf`	Estimating Ad Impact on Clicker Conversions for Causal Attribution: A Potential Outcomes Approach. SDM Joel Barajas, Ram Akella, Aaron Flores, Marius Holtan
2013	—	`conf`	Dynamic evaluation of online display advertising with randomized experiments: an aggregated approach. WWW (Companion Volume) Joel Barajas, Ram Akella, Marius Holtan, Jaimie Kwon, Aaron Flores, Victor Andrei
2012	A	`conf`	Dynamic effects of ad impressions on commercial actions in display advertising. CIKM Joel Barajas, Ram Akella, Marius Holtan, Jaimie Kwon, Aaron Flores, Victor Andrei
2012	—	`conf`	Impact of ad impressions on dynamic commercial actions: value attribution in marketing campaigns. WWW (Companion Volume) Joel Barajas, Ram Akella, Marius Holtan, Jaimie Kwon, Aaron Flores, Victor Andrei
2012	—	`conf`	Marketing campaign evaluation in targeted display advertising. AdKDD@KDD Joel Barajas, Jaimie Kwon, Ram Akella, Aaron Flores, Marius Holtan, Victor Andrei
2012	—	`conf`	Measuring dynamic effects of display advertising in the absence of user tracking information. AdKDD@KDD Joel Barajas, Jaimie Kwon, Ram Akella, Aaron Flores, Marius Holtan, Victor Andrei