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Kai Zheng 0007
Person information
- affiliation: Peking University, Beijing, China
Other persons with the same name
- Kai Zheng — disambiguation page
- Kai Zheng 0001 — University of Electronic Science and Technology of China, Chengdu, China (and 2 more)
- Kai Zheng 0002 — University of California, Irvine, Department of Informatics, CA, USA (and 1 more)
- Kai Zheng 0003 — Huawei Technologies, Beijing, China (and 2 more)
- Kai Zheng 0004 — Dalian Maritime University, Dalian, China (and 2 more)
- Kai Zheng 0005 — Shanghai Jiao Tong University, Shanghai, China
- Kai Zheng 0006 — Wuhan University of Technology, Wuhan, China
- Kai Zheng 0008 — East China Normal University, Shanghai, China
- Kai Zheng 0009 — Arcelor Mittal, Chicago, IL, USA (and 1 more)
- Kai Zheng 0010 — Beijing University of Science and Technology, Beijing, China (and 1 more)
- Kai Zheng 0011 — University of Science and Technology of China, Hefei, China
- Kai Zheng 0012 — Xiamen University, Xiamen, China
- Kai Zheng 0013 — Intel Corporation, Shanghai, China
- Kai Zheng 0014 — South China Normal University, Guangzhou, China
- Kai Zheng 0015 — North China Electric Power University, Beijing, China
- Kai Zheng 0016 — TaiYuan University of Technology, Shanxi, China
- Kai Zheng 0017 — Stony Brook University, Stony Brook, NY, USA
- Kai Zheng 0018 — Xi'an Jiaotong-Liverpool University, Department of Computer Science and Software Engineering, Suzhou, China
- Kai Zheng 0019 — Chongqing University of Posts and Telecommunications, Department of Mechanical Engineering, School of Advanced Manufacturing Engineering, China
- Kai Zheng 0020 — China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China
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Conference and Workshop Papers
- 2020
- [c7]Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang:
(Locally) Differentially Private Combinatorial Semi-Bandits. ICML 2020: 1757-1767 - [c6]Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu:
On Layer Normalization in the Transformer Architecture. ICML 2020: 10524-10533 - [c5]Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang:
Locally Differentially Private (Contextual) Bandits Learning. NeurIPS 2020 - 2019
- [c4]Kai Zheng, Haipeng Luo, Ilias Diakonikolas, Liwei Wang:
Equipping Experts/Bandits with Long-term Memory. NeurIPS 2019: 5927-5937 - 2018
- [c3]Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng:
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. COLT 2018: 605-638 - 2017
- [c2]Kai Zheng, Wenlong Mou, Liwei Wang:
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible. ICML 2017: 4130-4139 - [c1]Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang:
Efficient Private ERM for Smooth Objectives. IJCAI 2017: 3922-3928
Informal and Other Publications
- 2020
- [i8]Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng:
Combinatorial Semi-Bandit in the Non-Stationary Environment. CoRR abs/2002.03580 (2020) - [i7]Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu:
On Layer Normalization in the Transformer Architecture. CoRR abs/2002.04745 (2020) - [i6]Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang:
Locally Differentially Private (Contextual) Bandits Learning. CoRR abs/2006.00701 (2020) - [i5]Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang:
(Locally) Differentially Private Combinatorial Semi-Bandits. CoRR abs/2006.00706 (2020) - 2019
- [i4]Kai Zheng, Haipeng Luo, Ilias Diakonikolas, Liwei Wang:
Equipping Experts/Bandits with Long-term Memory. CoRR abs/1905.12950 (2019) - 2017
- [i3]Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang:
Efficient Private ERM for Smooth Objectives. CoRR abs/1703.09947 (2017) - [i2]Kai Zheng, Wenlong Mou, Liwei Wang:
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible. CoRR abs/1706.03316 (2017) - [i1]Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng:
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. CoRR abs/1707.05947 (2017)
Coauthor Index
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