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Quantifying Long Range Dependence in Language and User Behavior to improve RNNs


May 23, 2019
Francois Belletti, Minmin Chen, Ed H. Chi


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Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions


Apr 08, 2019
Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess

* arXiv admin note: substantial text overlap with arXiv:1901.08910 

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Towards Neural Mixture Recommender for Long Range Dependent User Sequences


Feb 22, 2019
Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi

* Accepted at WWW 2019 

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Scalable Realistic Recommendation Datasets through Fractal Expansions


Jan 23, 2019
Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John Anderson


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Top-K Off-Policy Correction for a REINFORCE Recommender System


Dec 06, 2018
Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed Chi


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Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning


Jan 30, 2017
Francois Belletti, Daniel Haziza, Gabriel Gomes, Alexandre M. Bayen


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