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A Distributed One-Step Estimator
v1v2 (latest)

A Distributed One-Step Estimator

4 November 2015
Cheng Huang
X. Huo
    FedML
ArXiv (abs)PDFHTML

Papers citing "A Distributed One-Step Estimator"

26 / 26 papers shown
Title
Grid Point Approximation for Distributed Nonparametric Smoothing and
  Prediction
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction
Yuan Gao
Rui Pan
Feng Li
Riquan Zhang
Hansheng Wang
41
0
0
21 Sep 2024
Minimax and Communication-Efficient Distributed Best Subset Selection
  with Oracle Property
Minimax and Communication-Efficient Distributed Best Subset Selection with Oracle Property
Jingguo Lan
Hongmei Lin
Xueqin Wang
15
0
0
30 Aug 2024
Distributed High-Dimensional Quantile Regression: Estimation Efficiency
  and Support Recovery
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
Caixing Wang
Ziliang Shen
71
0
0
13 May 2024
A Selective Review on Statistical Methods for Massive Data Computation:
  Distributed Computing, Subsampling, and Minibatch Techniques
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
Xuetong Li
Yuan Gao
Hong Chang
Danyang Huang
Yingying Ma
...
Ke Xu
Jing Zhou
Xuening Zhu
Yingqiu Zhu
Hansheng Wang
68
9
0
17 Mar 2024
Byzantine-robust distributed one-step estimation
Byzantine-robust distributed one-step estimation
Chuhan Wang
Xuehu Zhu
Lixing Zhu
OOD
16
0
0
15 Jul 2023
Distributed Semi-Supervised Sparse Statistical Inference
Distributed Semi-Supervised Sparse Statistical Inference
Jiyuan Tu
Weidong Liu
Xiaojun Mao
Mingyue Xu
43
1
0
17 Jun 2023
Quasi-Newton Updating for Large-Scale Distributed Learning
Quasi-Newton Updating for Large-Scale Distributed Learning
Shuyuan Wu
Danyang Huang
Hansheng Wang
68
6
0
07 Jun 2023
On the asymptotic properties of a bagging estimator with a massive
  dataset
On the asymptotic properties of a bagging estimator with a massive dataset
Yuan Gao
Riquan Zhang
Hansheng Wang
42
1
0
13 Apr 2023
A review of distributed statistical inference
A review of distributed statistical inference
Yuan Gao
Weidong Liu
Hansheng Wang
Xiaozhou Wang
Yibo Yan
Riquan Zhang
74
43
0
13 Apr 2023
Distributed Estimation and Inference for Semi-parametric Binary Response
  Models
Distributed Estimation and Inference for Semi-parametric Binary Response Models
Xinyu Chen
Wenbo Jing
Weidong Liu
Yichen Zhang
47
2
0
15 Oct 2022
Novel Closed-form Point Estimators for the Beta Distribution
Novel Closed-form Point Estimators for the Beta Distribution
Piao Chen
Xun Xiao
110
3
0
11 Oct 2022
Weighted Distributed Estimation under Heterogeneity
Weighted Distributed Estimation under Heterogeneity
J. Gu
Songxi Chen
27
1
0
14 Sep 2022
ReBoot: Distributed statistical learning via refitting bootstrap samples
ReBoot: Distributed statistical learning via refitting bootstrap samples
Yumeng Wang
Ziwei Zhu
Xuming He
FedMLBDL
20
1
0
19 Jul 2022
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
L. Han
Jue Hou
Kelly Cho
R. Duan
Tianxi Cai
CMLFedMLCVBM
88
33
0
17 Dec 2021
Divide-and-conquer methods for big data analysis
Divide-and-conquer methods for big data analysis
Xueying Chen
Jerry Q. Cheng
Min‐ge Xie
44
9
0
22 Feb 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
75
10
0
19 Feb 2021
One-Step Estimation With Scaled Proximal Methods
One-Step Estimation With Scaled Proximal Methods
R. Bassett
Julio Deride
28
0
0
30 Apr 2020
Distributed Kernel Ridge Regression with Communications
Distributed Kernel Ridge Regression with Communications
Shao-Bo Lin
Di Wang
Ding-Xuan Zhou
41
34
0
27 Mar 2020
Scalable Approximate Inference and Some Applications
Scalable Approximate Inference and Some Applications
Jun Han
BDL
59
1
0
07 Mar 2020
Simultaneous Inference for Massive Data: Distributed Bootstrap
Simultaneous Inference for Massive Data: Distributed Bootstrap
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
48
15
0
19 Feb 2020
Distributed Learning with Dependent Samples
Distributed Learning with Dependent Samples
Zirui Sun
Shao-Bo Lin
53
7
0
10 Feb 2020
Communication-Efficient Distributed Estimator for Generalized Linear
  Models with a Diverging Number of Covariates
Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates
Ping Zhou
Zhen Yu
Jingyi Ma
M. Tian
Ye Fan
33
6
0
17 Jan 2020
A Provably Communication-Efficient Asynchronous Distributed Inference
  Method for Convex and Nonconvex Problems
A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems
Jineng Ren
Jarvis Haupt
FedML
41
4
0
16 Mar 2019
Distributed Inference for Linear Support Vector Machine
Distributed Inference for Linear Support Vector Machine
Xiaozhou Wang
Zhuoyi Yang
Xi Chen
Weidong Liu
100
65
0
29 Nov 2018
First-order Newton-type Estimator for Distributed Estimation and
  Inference
First-order Newton-type Estimator for Distributed Estimation and Inference
Xi Chen
Weidong Liu
Yichen Zhang
97
51
0
28 Nov 2018
Efficient Distributed Learning with Sparsity
Efficient Distributed Learning with Sparsity
Jialei Wang
Mladen Kolar
Nathan Srebro
Tong Zhang
FedML
90
152
0
25 May 2016
1