ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1503.04337
  4. Cited By
Communication-efficient sparse regression: a one-shot approach
v1v2v3 (latest)

Communication-efficient sparse regression: a one-shot approach

14 March 2015
Jason D. Lee
Yuekai Sun
Qiang Liu
Jonathan E. Taylor
ArXiv (abs)PDFHTML

Papers citing "Communication-efficient sparse regression: a one-shot approach"

19 / 19 papers shown
Title
Distributed Estimation and Inference for Spatial Autoregression Model
  with Large Scale Networks
Distributed Estimation and Inference for Spatial Autoregression Model with Large Scale Networks
Yi Ren
Zhe Li
Xuening Zhu
Yuan Gao
Hansheng Wang
30
3
0
29 Oct 2022
Distributed Sparse Regression via Penalization
Distributed Sparse Regression via Penalization
Yao Ji
G. Scutari
Ying Sun
Harsha Honnappa
63
6
0
12 Nov 2021
A Sequential Addressing Subsampling Method for Massive Data Analysis
  under Memory Constraint
A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint
Rui Pan
Yingqiu Zhu
Baishan Guo
Xuening Zhu
Hansheng Wang
38
5
0
03 Oct 2021
Meta-analysis of heterogeneous data: integrative sparse regression in
  high-dimensions
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions
Subha Maity
Yuekai Sun
Moulinath Banerjee
20
7
0
26 Dec 2019
Least Squares Approximation for a Distributed System
Least Squares Approximation for a Distributed System
Xuening Zhu
Feng Li
Hansheng Wang
48
56
0
14 Aug 2019
Communication Efficient Parallel Algorithms for Optimization on
  Manifolds
Communication Efficient Parallel Algorithms for Optimization on Manifolds
B. Saparbayeva
M. Zhang
Lizhen Lin
49
4
0
26 Oct 2018
MSplit LBI: Realizing Feature Selection and Dense Estimation
  Simultaneously in Few-shot and Zero-shot Learning
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
Bo Zhao
Xinwei Sun
Yanwei Fu
Yuan Yao
Yizhou Wang
67
23
0
12 Jun 2018
Distributed Statistical Inference for Massive Data
Distributed Statistical Inference for Massive Data
Songxi Chen
Liuhua Peng
53
27
0
29 May 2018
An asymptotic analysis of distributed nonparametric methods
An asymptotic analysis of distributed nonparametric methods
Botond Szabó
Harry Van Zanten
71
46
0
08 Nov 2017
Restricted Eigenvalue from Stable Rank with Applications to Sparse
  Linear Regression
Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression
S. Kasiviswanathan
M. Rudelson
22
1
0
25 Jul 2017
Distributed Statistical Estimation and Rates of Convergence in Normal
  Approximation
Distributed Statistical Estimation and Rates of Convergence in Normal Approximation
Stanislav Minsker
Nate Strawn
86
67
0
09 Apr 2017
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
Efficient Distributed Estimation of Inverse Covariance Matrices
Efficient Distributed Estimation of Inverse Covariance Matrices
Jesús Arroyo
Elizabeth Hou
57
8
0
03 May 2016
Distributed Multi-Task Learning with Shared Representation
Distributed Multi-Task Learning with Shared Representation
Jialei Wang
Mladen Kolar
Nathan Srebro
53
22
0
07 Mar 2016
Nonparametric Heterogeneity Testing For Massive Data
Nonparametric Heterogeneity Testing For Massive Data
Junwei Lu
Guang Cheng
Han Liu
55
19
0
23 Jan 2016
A Distributed One-Step Estimator
A Distributed One-Step Estimator
Cheng Huang
X. Huo
FedML
121
84
0
04 Nov 2015
Distributed Estimation and Inference with Statistical Guarantees
Distributed Estimation and Inference with Statistical Guarantees
Heather Battey
Jianqing Fan
Han Liu
Junwei Lu
Ziwei Zhu
88
83
0
17 Sep 2015
Communication Lower Bounds for Statistical Estimation Problems via a
  Distributed Data Processing Inequality
Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality
M. Braverman
A. Garg
Tengyu Ma
Huy Le Nguyen
David P. Woodruff
FedML
117
175
0
24 Jun 2015
On the Optimality of Averaging in Distributed Statistical Learning
On the Optimality of Averaging in Distributed Statistical Learning
Jonathan D. Rosenblatt
B. Nadler
FedML
109
111
0
10 Jul 2014
1