Convergence of Cubic Regularization for Nonconvex Optimization under KL Property. - Yi Zhou 017; Zhe Wang 021; Yingbin Liang (NeurIPS, 2018)

Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. - Zhe Wang 021; Yi Zhou 017; Yingbin Liang; Guanghui Lan (CoRR, 2018)

A Note on Inexact Condition for Cubic Regularized Newton's Method. - Zhe Wang 021; Yi Zhou 017; Yingbin Liang; Guanghui Lan (CoRR, 2018)

SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization. - Zhe Wang 021; Kaiyi Ji; Yi Zhou 017; Yingbin Liang; Vahid Tarokh (CoRR, 2018)

Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. - Zhe Wang 021; Yi Zhou 017; Yingbin Liang; Guanghui Lan (AISTATS, 2019)

Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization. - Kaiyi Ji; Zhe Wang 021; Yi Zhou 017; Yingbin Liang (ICML, 2019)

SpiderBoost and Momentum: Faster Variance Reduction Algorithms. - Zhe Wang 021; Kaiyi Ji; Yi Zhou 017; Yingbin Liang; Vahid Tarokh (NeurIPS, 2019)

Cubic Regularization with Momentum for Nonconvex Optimization. - Zhe Wang 021; Yi Zhou 017; Yingbin Liang; Guanghui Lan (UAI, 2019)

Faster Stochastic Algorithms via History-Gradient Aided Batch Size Adaptation. - Kaiyi Ji; Zhe Wang 021; Yi Zhou 017; Yingbin Liang (CoRR, 2019)

A note on inexact gradient and Hessian conditions for cubic regularized Newton's method. - Zhe Wang 021; Yi Zhou 017; Yingbin Liang; Guanghui Lan (Oper. Res. Lett., 2019)

Reanalysis of Variance Reduced Temporal Difference Learning. - Tengyu Xu; Zhe Wang 021; Yi Zhou 017; Yingbin Liang (ICLR, 2020)

History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms. - Kaiyi Ji; Zhe Wang 021; Bowen Weng; Yi Zhou 017; Wei Zhang 013; Yingbin Liang (ICML, 2020)

Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. - Yi Zhou 017; Zhe Wang 021; Kaiyi Ji; Yingbin Liang; Vahid Tarokh (IJCAI, 2020)

Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms. - Tengyu Xu; Zhe Wang 021; Yingbin Liang (NeurIPS, 2020)

Improving Sample Complexity Bounds for Actor-Critic Algorithms. - Tengyu Xu; Zhe Wang 021; Yingbin Liang (CoRR, 2020)

Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms. - Tengyu Xu; Zhe Wang 021; Yingbin Liang (CoRR, 2020)

Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization. - Tengyu Xu; Zhe Wang 021; Yingbin Liang; H. Vincent Poor (CoRR, 2020)

Spectral Algorithms for Community Detection in Directed Networks. - Zhe Wang 021; Yingbin Liang; Pengsheng Ji (J. Mach. Learn. Res., 2020)