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Efficient Wasserstein Natural Gradients for Reinforcement Learning


Oct 12, 2020
Ted Moskovitz, Michael Arbel, Ferenc Huszar, Arthur Gretton


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Deep Bayesian Bandits: Exploring in Online Personalized Recommendations


Aug 03, 2020
Dalin Guo, Sofia Ira Ktena, Ferenc Huszar, Pranay Kumar Myana, Wenzhe Shi, Alykhan Tejani


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Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems


Jul 28, 2020
Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi

* Paper is accepted to RecSys 2020 

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Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction


Jul 15, 2019
Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszar, Steven Yoo, Wenzhe Shi

* Accepted at RecSys '19 

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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network


May 25, 2017
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi

* 19 pages, 15 figures, 2 tables, accepted for oral presentation at CVPR, main paper + some supplementary material 

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Is the deconvolution layer the same as a convolutional layer?


Sep 22, 2016
Wenzhe Shi, Jose Caballero, Lucas Theis, Ferenc Huszar, Andrew Aitken, Christian Ledig, Zehan Wang

* This is a note to share some additional insights for our the CVPR paper 

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Optimally-Weighted Herding is Bayesian Quadrature


Jul 13, 2016
Ferenc Huszar, David Duvenaud

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012). This copy was withdrawn since it's a duplicate of arXiv:1204.1664 

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