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ORCIDXiang Cheng 0006
Person information
- affiliation: University of California, Department of Electrical Engineering and Computer Sciences, Berkeley, CA, USA
Other persons with the same name
- Xiang Cheng — disambiguation page
- Xiang Cheng 0001
![[0000-0002-5943-0326]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5943-0326")
— Peking University, State Key Laboratory of Advanced Optical Communication Systems and Networks, Beijing, China (and 2 more) - Xiang Cheng 0002 — Emory University, Atlanta, GA, USA
- Xiang Cheng 0003 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Xiang Cheng 0004 — Yangzhou University, School of Information Engineering, China (and 1 more)
- Xiang Cheng 0005 — University of Cambridge, Department of Engineering, UK
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2020 – today
- 2020
[c5]Xiang Cheng, Dong Yin, Peter L. Bartlett, Michael I. Jordan:
Stochastic Gradient and Langevin Processes. ICML 2020: 1810-1819
2010 – 2019
- 2019
- [j1]Kimon Fountoulakis, Farbod Roosta-Khorasani, Julian Shun, Xiang Cheng, Michael W. Mahoney:
Variational perspective on local graph clustering. Math. Program. 174(1-2): 553-573 (2019) - [i7]Xiang Cheng, Peter L. Bartlett, Michael I. Jordan:
Quantitative Central Limit Theorems for Discrete Stochastic Processes. CoRR abs/1902.00832 (2019) - [i6]Yi-An Ma, Niladri S. Chatterji, Xiang Cheng, Nicolas Flammarion, Peter L. Bartlett, Michael I. Jordan:
Is There an Analog of Nesterov Acceleration for MCMC? CoRR abs/1902.00996 (2019) - [i5]Xiang Cheng, Dong Yin, Peter L. Bartlett, Michael I. Jordan:
Quantitative W1 Convergence of Langevin-Like Stochastic Processes with Non-Convex Potential State-Dependent Noise. CoRR abs/1907.03215 (2019) - 2018
- [c4]Xiang Cheng, Fred (Farbod) Roosta, Stefan Palombo, Peter L. Bartlett, Michael W. Mahoney:
FLAG n' FLARE: Fast Linearly-Coupled Adaptive Gradient Methods. AISTATS 2018: 404-414 - [c3]Xiang Cheng, Peter L. Bartlett:
Convergence of Langevin MCMC in KL-divergence. ALT 2018: 186-211 - [c2]Xiang Cheng, Niladri S. Chatterji, Peter L. Bartlett, Michael I. Jordan:
Underdamped Langevin MCMC: A non-asymptotic analysis. COLT 2018: 300-323 - [i4]Xiang Cheng, Niladri S. Chatterji, Yasin Abbasi-Yadkori, Peter L. Bartlett, Michael I. Jordan:
Sharp Convergence Rates for Langevin Dynamics in the Nonconvex Setting. CoRR abs/1805.01648 (2018) - 2017
- [i3]Xiang Cheng, Niladri S. Chatterji, Peter L. Bartlett, Michael I. Jordan:
Underdamped Langevin MCMC: A non-asymptotic analysis. CoRR abs/1707.03663 (2017) - 2016
- [i2]Ahmed El Alaoui, Xiang Cheng, Aaditya Ramdas, Martin J. Wainwright, Michael I. Jordan:
Asymptotic behavior of ℓp-based Laplacian regularization in semi-supervised learning. CoRR abs/1603.00564 (2016) - [i1]Xiang Cheng, Farbod Roosta-Khorasani, Peter L. Bartlett, Michael W. Mahoney:
FLAG: Fast Linearly-Coupled Adaptive Gradient Method. CoRR abs/1605.08108 (2016) - 2014
- [c1]Siddharth Srivastava, Stuart Russell, Paul Ruan, Xiang Cheng:
First-Order Open-Universe POMDPs. UAI 2014: 742-751
Coauthor Index
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