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PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization

Aug 25, 2020
Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik

* 30 pages 

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A Unified Analysis of Stochastic Gradient Methods for Nonconvex Federated Optimization

Jun 12, 2020
Zhize Li, Peter Richtárik

* 77 pages 

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Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization

Feb 26, 2020
Zhize Li, Dmitry Kovalev, Xun Qian, Peter Richtárik

* 27 pages, 2 algoritms, 4 theorems, 5 lemmas, 10 figures 

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A unified variance-reduced accelerated gradient method for convex optimization

May 30, 2019
Guanghui Lan, Zhize Li, Yi Zhou

* 25 pages 

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Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization

May 01, 2019
Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang


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SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points

Apr 19, 2019
Zhize Li

* 44 pages 

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A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization

Oct 27, 2018
Zhize Li, Jian Li

* 32nd Conference on Neural Information Processing Systems (NIPS 2018) 

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Learning Two-layer Neural Networks with Symmetric Inputs

Oct 16, 2018
Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang


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An Anderson-Chebyshev Mixing Method for Nonlinear Optimization

Sep 07, 2018
Zhize Li, Jian Li

* 20 pages 

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Gradient Boosting With Piece-Wise Linear Regression Trees

Apr 04, 2018
Yu Shi, Jian Li, Zhize Li


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Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference

Mar 29, 2018
Zhize Li, Tianyi Zhang, Jian Li

* 20 pages 

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