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First-order Newton-type Estimator for Distributed Estimation and
  Inference

First-order Newton-type Estimator for Distributed Estimation and Inference

28 November 2018
Xi Chen
Weidong Liu
Yichen Zhang
ArXivPDFHTML

Papers citing "First-order Newton-type Estimator for Distributed Estimation and Inference"

7 / 7 papers shown
Title
Byzantine-tolerant distributed learning of finite mixture models
Byzantine-tolerant distributed learning of finite mixture models
Qiong Zhang
Jiahua Chen
Jiahua Chen
FedML
96
0
0
19 Jul 2024
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
Sen Na
Michael W. Mahoney
47
8
0
27 May 2022
Distributed High-dimensional Regression Under a Quantile Loss Function
Distributed High-dimensional Regression Under a Quantile Loss Function
Xi Chen
Weidong Liu
Xiaojun Mao
Zhuoyi Yang
52
72
0
13 Jun 2019
Statistical Inference for Model Parameters in Stochastic Gradient
  Descent
Statistical Inference for Model Parameters in Stochastic Gradient Descent
Xi Chen
Jason D. Lee
Xin T. Tong
Yichen Zhang
56
138
0
27 Oct 2016
A Distributed One-Step Estimator
A Distributed One-Step Estimator
Cheng Huang
X. Huo
FedML
63
82
0
04 Nov 2015
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
147
738
0
19 Mar 2014
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with
  Minimax Optimal Rates
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Yuchen Zhang
John C. Duchi
Martin J. Wainwright
229
378
0
22 May 2013
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