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Communication-efficient Distributed Newton-like Optimization with
  Gradients and M-estimators

Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators

13 July 2022
Ziyan Yin
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Papers citing "Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators"

30 / 30 papers shown
Title
Distributed Bootstrap for Simultaneous Inference Under High
  Dimensionality
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
59
10
0
19 Feb 2021
Simultaneous Inference for Massive Data: Distributed Bootstrap
Simultaneous Inference for Massive Data: Distributed Bootstrap
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
35
15
0
19 Feb 2020
Heterogeneity-aware and communication-efficient distributed statistical
  inference
Heterogeneity-aware and communication-efficient distributed statistical inference
R. Duan
Y. Ning
Yong Chen
28
70
0
20 Dec 2019
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
47
72
0
13 Jun 2019
Communication-Efficient Accurate Statistical Estimation
Communication-Efficient Accurate Statistical Estimation
Jianqing Fan
Yongyi Guo
Kaizheng Wang
41
114
0
12 Jun 2019
Convergence of Distributed Stochastic Variance Reduced Methods without
  Sampling Extra Data
Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data
Shicong Cen
Huishuai Zhang
Yuejie Chi
Wei-neng Chen
Tie-Yan Liu
FedML
44
27
0
29 May 2019
Distributed Inference for Linear Support Vector Machine
Distributed Inference for Linear Support Vector Machine
Xiaozhou Wang
Zhuoyi Yang
Xi Chen
Weidong Liu
56
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
52
51
0
28 Nov 2018
Distributed linear regression by averaging
Distributed linear regression by averaging
Yan Sun
Yueqi Sheng
FedML
37
65
0
30 Sep 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed
  Learning
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen
G. Giannakis
Tao Sun
W. Yin
53
297
0
25 May 2018
When Is the First Spurious Variable Selected by Sequential Regression
  Procedures?
When Is the First Spurious Variable Selected by Sequential Regression Procedures?
Weijie J. Su
26
20
0
10 Aug 2017
Distributed Estimation of Principal Eigenspaces
Distributed Estimation of Principal Eigenspaces
Jianqing Fan
Dong Wang
Kaizheng Wang
Ziwei Zhu
54
165
0
21 Feb 2017
Distributed inference for quantile regression processes
Distributed inference for quantile regression processes
S. Volgushev
Shih-Kang Chao
Guang Cheng
358
131
0
21 Jan 2017
Efficient Distributed Learning with Sparsity
Efficient Distributed Learning with Sparsity
Jialei Wang
Mladen Kolar
Nathan Srebro
Tong Zhang
FedML
57
152
0
25 May 2016
Tuning parameter selection in high dimensional penalized likelihood
Tuning parameter selection in high dimensional penalized likelihood
Yingying Fan
C. Tang
55
327
0
11 May 2016
False Discoveries Occur Early on the Lasso Path
False Discoveries Occur Early on the Lasso Path
Weijie Su
M. Bogdan
Emmanuel Candes
125
180
0
05 Nov 2015
Central Limit Theorems and Bootstrap in High Dimensions
Central Limit Theorems and Bootstrap in High Dimensions
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
74
312
0
11 Dec 2014
Distributed Estimation, Information Loss and Exponential Families
Distributed Estimation, Information Loss and Exponential Families
Qiang Liu
Alexander Ihler
FedML
47
59
0
09 Oct 2014
On the Optimality of Averaging in Distributed Statistical Learning
On the Optimality of Averaging in Distributed Statistical Learning
Jonathan D. Rosenblatt
B. Nadler
FedML
58
111
0
10 Jul 2014
Communication Efficient Distributed Optimization using an Approximate
  Newton-type Method
Communication Efficient Distributed Optimization using an Approximate Newton-type Method
Ohad Shamir
Nathan Srebro
Tong Zhang
82
556
0
30 Dec 2013
Exact post-selection inference, with application to the lasso
Exact post-selection inference, with application to the lasso
Jason D. Lee
Dennis L. Sun
Yuekai Sun
Jonathan E. Taylor
191
732
0
25 Nov 2013
Challenges of Big Data Analysis
Challenges of Big Data Analysis
Jianqing Fan
Fang Han
Han Liu
110
1,287
0
07 Aug 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
180
767
0
13 Jun 2013
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
217
378
0
22 May 2013
On asymptotically optimal confidence regions and tests for
  high-dimensional models
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer
Peter Buhlmann
Yaácov Ritov
Ruben Dezeure
173
1,130
0
03 Mar 2013
Gaussian approximations and multiplier bootstrap for maxima of sums of
  high-dimensional random vectors
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
129
507
0
31 Dec 2012
Gaussian approximation of suprema of empirical processes
Gaussian approximation of suprema of empirical processes
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
123
298
0
31 Dec 2012
The Masked Sample Covariance Estimator: An Analysis via Matrix
  Concentration Inequalities
The Masked Sample Covariance Estimator: An Analysis via Matrix Concentration Inequalities
Richard Y. Chen
Alex Gittens
J. Tropp
83
70
0
08 Sep 2011
Variance Estimation Using Refitted Cross-validation in Ultrahigh
  Dimensional Regression
Variance Estimation Using Refitted Cross-validation in Ultrahigh Dimensional Regression
Jianqing Fan
Shaojun Guo
Ning Hao
116
292
0
29 Apr 2010
A Selective Overview of Variable Selection in High Dimensional Feature
  Space (Invited Review Article)
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
Jianqing Fan
Jinchi Lv
525
913
0
06 Oct 2009
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