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Multi-view Intent Disentangle Graph Networks for Bundle Recommendation


Feb 23, 2022
Sen Zhao, Wei Wei, Ding Zou, Xianling Mao


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Predicting on the Edge: Identifying Where a Larger Model Does Better


Feb 15, 2022
Taman Narayan, Heinrich Jiang, Sen Zhao, Sanjiv Kumar


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Distribution Embedding Networks for Meta-Learning with Heterogeneous Covariate Spaces


Feb 04, 2022
Lang Liu, Mahdi Milani Fard, Sen Zhao


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Global Optimization Networks


Feb 02, 2022
Sen Zhao, Erez Louidor, Olexander Mangylov, Maya Gupta


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A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method


Dec 10, 2021
Sen Zhao, Yong Zhang, Shang Wang, Beitong Zhou, Cheng Cheng

* Measurement 2019 

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Advances and Open Problems in Federated Learning


Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Metric-Optimized Example Weights


May 27, 2018
Sen Zhao, Mahdi Milani Fard, Maya Gupta


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In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference


Dec 07, 2017
Sen Zhao, Ali Shojaie, Daniela Witten

* 61 pages, 3 figures, 8 tables 

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