SSRGD: Simple Stochastic Recursive Gradient Descent for escaping saddle points

由 LI, Zhize
出版 2019

A simple proximal stochastic gradient method for nonsmooth nonconvex optimization

由 LI, Zhize, LI, Jian
出版 2018

A fast Anderson-Chebyshev acceleration for nonlinear optimization

由 LI, Zhize, LI, Jian
出版 2020

CANITA: Faster rates for distributed convex optimization with communication compression

由 LI, Zhize, RICHTARIK, Peter
出版 2021

Simple and optimal stochastic gradient methods for nonsmooth nonconvex optimization

由 LI, Zhize, LI, Jian
出版 2022

Tutorial: "Advances in federated optimization: Efficiency, resiliency, and privacy"

由 CHI, Yuejie, LI, Zhize
出版 2023

Optimal in-place suffix sorting

由 LI, Zhize, LI, Jian, HUO, Hongwei
出版 2018

Gradient boosting with piece-wise linear regression trees

由 SHI, Yu, LI, Jian, LI, Zhize
出版 2019

A unified variance-reduced accelerated gradient method for convex optimization

由 LAN, Guanghui, LI, Zhize, ZHOU, Yi
出版 2019

Optimal in‐place suffix sorting

由 LI, Zhize, LI, Jian, HUO, Hongwei
出版 2022

DESTRESS: Computation-optimal and communication-efficient decentralized nonconvex finite-sum optimization

由 LI, Boyue, LI, Zhize, CHI, Yuejie
出版 2022

Escaping saddle points in heterogeneous federated learning via distributed SGD with communication compression

由 CHEN, Sijin, LI, Zhize, CHI, Yuejie
出版 2024

On top-k selection in multi-armed bandits and hidden bipartite graphs

由 CAO, Wei, LI, Jian, TAO, Yufei, LI, Zhize
出版 2015

A two-stage mechanism for ordinal peer assessment

由 LI, Zhize, ZHANG, Le, FANG, Zhixuan, LI, Jian
出版 2018

Learning two-layer neural networks with symmetric inputs

由 GE, Rong, KUDITIPUDI, Rohith, LI, Zhize, WANG, Xiang
出版 2019

Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization

由 GE, Rong, LI, Zhize, WANG, Weiyao, WANG, Xiang
出版 2019

Acceleration for compressed gradient descent in distributed and federated optimization

由 LI, Zhize, KOVALEV, Dmitry, QIAN, Xun, RICHTARIK, Peter
出版 2020

MARINA: Faster non-convex distributed learning with compression

由 GORBUNOV, Eduard, BURLACHENKO, Konstantin, LI, Zhize, RICHTARIK, Peter
出版 2021

PAGE: A simple and optimal probabilistic gradient estimator for nonconvex optimization

由 LI, Zhize, BAO, Hongyan, ZHANG, Xiangliang, RICHTARIK, Peter
出版 2021

Coresets for vertical federated learning: Regularized linear regression and k-means clustering

由 HUANG, Lingxiao, LI, Zhize, SUN, Jialin, ZHAO, Haoyu
出版 2022