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Zhe Wang 0021
Person information
- affiliation: Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
Other persons with the same name
- Zhe Wang — disambiguation page
- Zhe Wang 0001
— Griffith University, School of Information and Communication Technology, Australia
- Zhe Wang 0002
- Zhe Wang 0003
- Zhe Wang 0004 — Columbia University, Department of Electrical Engineering, New York, NY, USA
- Zhe Wang 0005
- Zhe Wang 0006
- Zhe Wang 0007 — Jilin University, College of Computer Science and Technology, Changchun, China
- Zhe Wang 0008
- Zhe Wang 0009 — University of Reading, UK
- Zhe Wang 0010
- Zhe Wang 0011
- Zhe Wang 0012
- Zhe Wang 0013
- Zhe Wang 0014
- Zhe Wang 0015
- Zhe Wang 0016
- Zhe Wang 0017
- Zhe Wang 0018
- Zhe Wang 0019
- Zhe Wang 0020 — University of Southern Caifornia, Los Angeles, CA, USA
- Zhe Wang 0022 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada
- Zhe Wang 0023 — Intel, USA (and 2 more)
- Zhe Wang 0024
- Zhe Wang 0025 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- Zhe Wang 0026
- Zhe Wang 0027
- Zhe Wang 0028
- Zhe Wang 0029
- Zhe Wang 0030
- Zhe Wang 0031
- Zhe Wang 0032
- Zhe Wang 0033
- Zhe Wang 0034
- Zhe Wang 0035
- Zhe Wang 0036
- Zhe Wang 0037
- Zhe Wang 0038
- Zhe Wang 0039
- Zhe Wang 0040 — Chongqing University, School of Big Data and Software Engineering, China
- Zhe Wang 0041
- Zhe Wang 0042
- Zhe Wang 0043 — Xijing Hospital, Fourth Military Medical University, Xi'an, China
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2020 – today
- 2020
- [j2]Zhe Wang, Yingbin Liang, Pengsheng Ji:
Spectral Algorithms for Community Detection in Directed Networks. J. Mach. Learn. Res. 21: 153:1-153:45 (2020) - [c9]Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang:
Reanalysis of Variance Reduced Temporal Difference Learning. ICLR 2020 - [c8]Kaiyi Ji, Zhe Wang, Bowen Weng, Yi Zhou, Wei Zhang, Yingbin Liang:
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms. ICML 2020: 4762-4772 - [c7]Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh:
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. IJCAI 2020: 1445-1451 - [c6]Tengyu Xu, Zhe Wang, Yingbin Liang:
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms. NeurIPS 2020 - [i13]Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang:
Reanalysis of Variance Reduced Temporal Difference Learning. CoRR abs/2001.01898 (2020) - [i12]Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh:
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. CoRR abs/2002.11582 (2020) - [i11]Tengyu Xu, Zhe Wang, Yingbin Liang:
Improving Sample Complexity Bounds for Actor-Critic Algorithms. CoRR abs/2004.12956 (2020) - [i10]Tengyu Xu, Zhe Wang, Yingbin Liang:
Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms. CoRR abs/2005.03557 (2020) - [i9]Tengyu Xu, Zhe Wang, Yingbin Liang, H. Vincent Poor:
Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization. CoRR abs/2006.09361 (2020) - [i8]Zhe Wang, Yingbin Liang, Pengsheng Ji:
Spectral Algorithms for Community Detection in Directed Networks. CoRR abs/2008.03820 (2020)
2010 – 2019
- 2019
- [j1]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
A note on inexact gradient and Hessian conditions for cubic regularized Newton's method. Oper. Res. Lett. 47(2): 146-149 (2019) - [c5]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. AISTATS 2019: 2731-2740 - [c4]Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang:
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization. ICML 2019: 3100-3109 - [c3]Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh:
SpiderBoost and Momentum: Faster Variance Reduction Algorithms. NeurIPS 2019: 2403-2413 - [c2]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
Cubic Regularization with Momentum for Nonconvex Optimization. UAI 2019: 313-322 - [i7]Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang:
Faster Stochastic Algorithms via History-Gradient Aided Batch Size Adaptation. CoRR abs/1910.09670 (2019) - [i6]Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang:
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization. CoRR abs/1910.12166 (2019) - 2018
- [c1]Yi Zhou, Zhe Wang, Yingbin Liang:
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property. NeurIPS 2018: 3764-3773 - [i5]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. CoRR abs/1802.07372 (2018) - [i4]Yi Zhou, Zhe Wang, Yingbin Liang:
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property. CoRR abs/1808.07382 (2018) - [i3]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
A Note on Inexact Condition for Cubic Regularized Newton's Method. CoRR abs/1808.07384 (2018) - [i2]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
Cubic Regularization with Momentum for Nonconvex Optimization. CoRR abs/1810.03763 (2018) - [i1]Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh:
SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization. CoRR abs/1810.10690 (2018)
Coauthor Index
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