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ORCIDSheng Chen 0014
Person information
- affiliation: University of Minnesota, Department of Computer Science and Engineering, Twin Cities, USA
Other persons with the same name
- Sheng Chen — disambiguation page
- Sheng Chen 0001
![[0000-0001-6882-600X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6882-600X")
— University of Southampton, Electronics and Computer Science, UK - Sheng Chen 0002 — Xidian University, Software Engineering Institute, China
- Sheng Chen 0003 — Wuhan Iron and Steel Group Company, China (and 1 more)
- Sheng Chen 0005 — Stevens Institute of Technology
- Sheng Chen 0006 — Nanyang Technological University, Singapore
- Sheng Chen 0007 — Harbin Institute of Technology, Department of Mathematics, China
- Sheng Chen 0008 — University of Louisiana at Lafayette, USA (and 1 more)
- Sheng Chen 0009 — University of Shanghai for Science and Technology, Center of Optical Instrument and System, China (and 1 more)
- Sheng Chen 0010 — Nanjing University of Information Science and Technology, School of Information and Control, China (and 1 more)
- Sheng Chen 0011 — Hohai University, College of Energy and Electrical Engineering, Nanjing, China
- Sheng Chen 0012 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Sheng Chen 0013 — Tsinghua University, Beijing National Research Center for Information Science and Technology, China
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Conference and Workshop Papers
- 2018
[c11]Sheng Chen, Arindam Banerjee:
Sparse Linear Isotonic Models. AISTATS 2018: 1270-1279- [c10]Sheng Chen, Arindam Banerjee:
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression. NeurIPS 2018: 6617-6628 - [c9]Yingxue Zhou, Sheng Chen, Arindam Banerjee:
Stable Gradient Descent. UAI 2018: 766-775 - 2017
- [c8]Sheng Chen, Arindam Banerjee:
Robust Structured Estimation with Single-Index Models. ICML 2017: 712-721 - [c7]Sheng Chen, Arindam Banerjee:
Alternating Estimation for Structured High-Dimensional Multi-Response Models. NIPS 2017: 2838-2848 - 2016
- [c6]Sheng Chen, Arindam Banerjee:
Structured Matrix Recovery via the Generalized Dantzig Selector. NIPS 2016: 3252-3260 - 2015
- [c5]Sheng Chen, Arindam Banerjee:
One-bit Compressed Sensing with the k-Support Norm. AISTATS 2015 - [c4]Arindam Banerjee, Sheng Chen, Vidyashankar Sivakumar:
Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs. COLT 2015: 1752-1755 - [c3]Sheng Chen, Arindam Banerjee:
Structured Estimation with Atomic Norms: General Bounds and Applications. NIPS 2015: 2908-2916 - 2014
- [c2]Arindam Banerjee, Sheng Chen, Farideh Fazayeli, Vidyashankar Sivakumar:
Estimation with Norm Regularization. NIPS 2014: 1556-1564 - [c1]Soumyadeep Chatterjee, Sheng Chen, Arindam Banerjee:
Generalized Dantzig Selector: Application to the k-support norm. NIPS 2014: 1934-1942
Informal and Other Publications
- 2015
- [i2]Arindam Banerjee, Sheng Chen, Farideh Fazayeli, Vidyashankar Sivakumar:
Estimation with Norm Regularization. CoRR abs/1505.02294 (2015) - 2014
- [i1]Soumyadeep Chatterjee, Sheng Chen, Arindam Banerjee:
Generalized Dantzig Selector: Application to the k-support norm. CoRR abs/1406.5291 (2014)
Coauthor Index
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