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Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm


Dec 23, 2020
Sinho Chewi, Chen Lu, Kwangjun Ahn, Xiang Cheng, Thibaut Le Gouic, Philippe Rigollet

* 41 pages 

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An End-to-End Solution for Named Entity Recognition in eCommerce Search


Dec 11, 2020
Xiang Cheng, Mitchell Bowden, Bhushan Ramesh Bhange, Priyanka Goyal, Thomas Packer, Faizan Javed

* Accepted by AAAI IAAI-2021 Highly Innovative Applications of AI track 

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Distilling a Deep Neural Network into a Takagi-Sugeno-Kang Fuzzy Inference System


Oct 10, 2020
Xiangming Gu, Xiang Cheng


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Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation


Oct 09, 2020
Tielin Zhang, Shuncheng Jia, Xiang Cheng, Bo Xu


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Finite Meta-Dynamic Neurons in Spiking Neural Networks for Spatio-temporal Learning


Oct 07, 2020
Xiang Cheng, Tielin Zhang, Shuncheng Jia, Bo Xu

* 24 pages, 8 figures, 4 tables 

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Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach


Dec 04, 2019
Yunan Zhang, Xiang Cheng, Heting Gao, Chengxiang Zhai


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Learning to Order Sub-questions for Complex Question Answering


Nov 12, 2019
Yunan Zhang, Xiang Cheng, Yufeng Zhang, Zihan Wang, Zhengqi Fang, Xiaoyan Wang, Zhenya Huang, Chengxiang Zhai


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Quantitative $W_1$ Convergence of Langevin-Like Stochastic Processes with Non-Convex Potential State-Dependent Noise


Jul 13, 2019
Xiang Cheng, Dong Yin, Peter L. Bartlett, Michael I. Jordan


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Is There an Analog of Nesterov Acceleration for MCMC?


Feb 04, 2019
Yi-An Ma, Niladri Chatterji, Xiang Cheng, Nicolas Flammarion, Peter Bartlett, Michael I. Jordan


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Quantitative Central Limit Theorems for Discrete Stochastic Processes


Feb 03, 2019
Xiang Cheng, Peter L. Bartlett, Michael I. Jordan


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Sharp Convergence Rates for Langevin Dynamics in the Nonconvex Setting


Sep 07, 2018
Xiang Cheng, Niladri S. Chatterji, Yasin Abbasi-Yadkori, Peter L. Bartlett, Michael I. Jordan

* 37 Pages 

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Underdamped Langevin MCMC: A non-asymptotic analysis


Jan 26, 2018
Xiang Cheng, Niladri S. Chatterji, Peter L. Bartlett, Michael I. Jordan

* 23 pages; Correction to Corollary 7 

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FLAG n' FLARE: Fast Linearly-Coupled Adaptive Gradient Methods


Nov 11, 2017
Xiang Cheng, Farbod Roosta-Khorasani, Stefan Palombo, Peter L. Bartlett, Michael W. Mahoney


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Convergence of Langevin MCMC in KL-divergence


Nov 01, 2017
Xiang Cheng, Peter Bartlett


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Asymptotic behavior of $\ell_p$-based Laplacian regularization in semi-supervised learning


Mar 02, 2016
Ahmed El Alaoui, Xiang Cheng, Aaditya Ramdas, Martin J. Wainwright, Michael I. Jordan


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