Zhe Wang

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 24

Top Topics

Temporal Difference

Sample Complexity

Convex Optimization

Deterministic Annealing

Top Venues

Publications

Tengyu Xu, Zhe Wang, Yingbin Liang
Improving Sample Complexity Bounds for Actor-Critic Algorithms. CoRR (2020)
Zhe Wang, Yingbin Liang, Pengsheng Ji
Spectral Algorithms for Community Detection in Directed Networks. J. Mach. Learn. Res. 21 (2020)
Tengyu Xu, Zhe Wang, Yingbin Liang, H. Vincent Poor
Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization. CoRR (2020)
Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang
Reanalysis of Variance Reduced Temporal Difference Learning. ICLR (2020)
Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang
Reanalysis of Variance Reduced Temporal Difference Learning. CoRR (2020)
Tengyu Xu, Zhe Wang, Yingbin Liang
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms. NeurIPS (2020)
Tengyu Xu, Zhe Wang, Yingbin Liang
Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms. CoRR (2020)
Kaiyi Ji, Zhe Wang, Bowen Weng, Yi Zhou, Wei Zhang, Yingbin Liang
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms. ICML (2020)
Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. IJCAI (2020)
Zhe Wang, Yingbin Liang, Pengsheng Ji
Spectral Algorithms for Community Detection in Directed Networks. CoRR (2020)
Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. CoRR (2020)
Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization. ICML (2019)
Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang
Faster Stochastic Algorithms via History-Gradient Aided Batch Size Adaptation. CoRR (2019)
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) (2019)
Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization. CoRR (2019)
Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. AISTATS (2019)
Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan
Cubic Regularization with Momentum for Nonconvex Optimization. UAI (2019)
Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh
SpiderBoost and Momentum: Faster Variance Reduction Algorithms. NeurIPS (2019)
Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh
SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization. CoRR (2018)
Yi Zhou, Zhe Wang, Yingbin Liang
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property. NeurIPS (2018)
Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan
Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. CoRR (2018)
Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan
A Note on Inexact Condition for Cubic Regularized Newton's Method. CoRR (2018)
Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan
Cubic Regularization with Momentum for Nonconvex Optimization. CoRR (2018)
Yi Zhou, Zhe Wang, Yingbin Liang
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property. CoRR (2018)