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Xinyang Yi

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Deep Hash Embedding for Large-Vocab Categorical Feature Representations

Oct 21, 2020
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi


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Self-supervised Learning for Deep Models in Recommendations

Jul 25, 2020
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix Yu, Aditya Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi, Kang, Evan Ettinger


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Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model

Jun 09, 2020
Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei


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More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning

Jul 14, 2019
Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu

* Advances in Neural Information Processing Systems (2016): 4482-4490 
 * This work has been published in NeurIPS 2016. The first three authors contribute equally 
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Efficient Training on Very Large Corpora via Gramian Estimation

Jul 18, 2018
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed Chi, John Anderson


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Fast Algorithms for Robust PCA via Gradient Descent

Sep 19, 2016
Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis


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Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization

Aug 19, 2016
Xinyang Yi, Constantine Caramanis, Sujay Sanghavi

* 39 pages, 2 figures 
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Regularized EM Algorithms: A Unified Framework and Statistical Guarantees

Dec 05, 2015
Xinyang Yi, Constantine Caramanis

* 53 pages, 3 figures. A shorter version appears in NIPS 2015 
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Optimal linear estimation under unknown nonlinear transform

May 13, 2015
Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu

* 25 pages, 3 figures 
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A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates

Feb 13, 2015
Yudong Chen, Xinyang Yi, Constantine Caramanis

* Added results on minimax lower bounds, which match our upper bounds on recovery errors up to log factors. Appeared in the Conference on Learning Theory (COLT), 2014. (JMLR W&CP 35 :560-604, 2014) 
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Alternating Minimization for Mixed Linear Regression

Feb 07, 2014
Xinyang Yi, Constantine Caramanis, Sujay Sanghavi


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