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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"

11 / 11 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
53
0
0
19 Jul 2024
A review of distributed statistical inference
A review of distributed statistical inference
Yuan Gao
Weidong Liu
Hansheng Wang
Xiaozhou Wang
Yibo Yan
Riquan Zhang
8
42
0
13 Apr 2023
Adaptive Data Fusion for Multi-task Non-smooth Optimization
Adaptive Data Fusion for Multi-task Non-smooth Optimization
H. Lam
Kaizheng Wang
Yuhang Wu
Yichen Zhang
24
2
0
22 Oct 2022
Approximating Partial Likelihood Estimators via Optimal Subsampling
Approximating Partial Likelihood Estimators via Optimal Subsampling
Haixiang Zhang
Lulu Zuo
Haiying Wang
Liuquan Sun
29
13
0
10 Oct 2022
Communication-efficient Distributed Newton-like Optimization with
  Gradients and M-estimators
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators
Ziyan Yin
32
0
0
13 Jul 2022
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
26
7
0
27 May 2022
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear
  Regression Models
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models
Yuan Gao
Xuening Zhu
Haobo Qi
Guodong Li
Riquan Zhang
Hansheng Wang
15
3
0
02 Nov 2021
Distributed Bootstrap for Simultaneous Inference Under High
  Dimensionality
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
35
10
0
19 Feb 2021
Communication-Efficient Accurate Statistical Estimation
Communication-Efficient Accurate Statistical Estimation
Jianqing Fan
Yongyi Guo
Kaizheng Wang
11
110
0
12 Jun 2019
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
84
736
0
19 Mar 2014
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
177
683
0
07 Dec 2010
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