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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"

28 / 28 papers shown
Efficient Computing Algorithm for High Dimensional Sparse Support Vector
  Machine
Efficient Computing Algorithm for High Dimensional Sparse Support Vector Machine
Jiawei Wen
344
1
0
25 Dec 2023
Batches Stabilize the Minimum Norm Risk in High Dimensional
  Overparameterized Linear Regression
Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression
Shahar Stein Ioushua
Inbar Hasidim
O. Shayevitz
M. Feder
332
1
0
14 Jun 2023
Distributed Estimation and Inference for Spatial Autoregression Model
  with Large Scale Networks
Distributed Estimation and Inference for Spatial Autoregression Model with Large Scale NetworksJournal of Econometrics (JE), 2022
Yi Ren
Zhe Li
Xuening Zhu
Yuan Gao
Hansheng Wang
321
6
0
29 Oct 2022
Distributed Sparse Regression via Penalization
Distributed Sparse Regression via PenalizationJournal of machine learning research (JMLR), 2021
Yao Ji
G. Scutari
Ying Sun
Harsha Honnappa
356
8
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
184
6
0
03 Oct 2021
High-Performance Statistical Computing in the Computing Environments of
  the 2020s
High-Performance Statistical Computing in the Computing Environments of the 2020sStatistical Science (Statist. Sci.), 2020
Seyoon Ko
Hua Zhou
Jin J. Zhou
Joong-Ho Won
537
10
0
07 Jan 2020
Meta-analysis of heterogeneous data: integrative sparse regression in
  high-dimensions
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensionsJournal of machine learning research (JMLR), 2019
Subha Maity
Yuekai Sun
Moulinath Banerjee
148
10
0
26 Dec 2019
Least Squares Approximation for a Distributed System
Least Squares Approximation for a Distributed SystemJournal of Computational And Graphical Statistics (JCGS), 2019
Xuening Zhu
Feng Li
Hansheng Wang
491
69
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
265
5
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
201
23
0
12 Jun 2018
Distributed Statistical Inference for Massive Data
Distributed Statistical Inference for Massive Data
Songxi Chen
Liuhua Peng
217
33
0
29 May 2018
An asymptotic analysis of distributed nonparametric methods
An asymptotic analysis of distributed nonparametric methods
Botond Szabó
Harry Van Zanten
247
50
0
08 Nov 2017
Communication-efficient Algorithm for Distributed Sparse Learning via
  Two-way Truncation
Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation
Jineng Ren
Jarvis Haupt
207
3
0
02 Sep 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
236
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
348
72
0
09 Apr 2017
Communication-efficient Distributed Estimation and Inference for
  Transelliptical Graphical Models
Communication-efficient Distributed Estimation and Inference for Transelliptical Graphical Models
Pan Xu
Lu Tian
Quanquan Gu
FedML
243
8
0
29 Dec 2016
Communication-efficient Distributed Sparse Linear Discriminant Analysis
Communication-efficient Distributed Sparse Linear Discriminant Analysis
Lu Tian
Quanquan Gu
237
24
0
15 Oct 2016
Sketching Meets Random Projection in the Dual: A Provable Recovery
  Algorithm for Big and High-dimensional Data
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2016
Jialei Wang
Jason D. Lee
M. Mahdavi
Mladen Kolar
Nathan Srebro
339
51
0
10 Oct 2016
Efficient Distributed Learning with Sparsity
Efficient Distributed Learning with Sparsity
Jialei Wang
Mladen Kolar
Nathan Srebro
Tong Zhang
FedML
272
171
0
25 May 2016
Communication-Efficient Distributed Statistical Inference
Communication-Efficient Distributed Statistical Inference
Sai Li
Jason D. Lee
Yun Yang
301
19
0
25 May 2016
Efficient Distributed Estimation of Inverse Covariance Matrices
Efficient Distributed Estimation of Inverse Covariance Matrices
Jesús Arroyo
Elizabeth Hou
224
9
0
03 May 2016
Distributed Multi-Task Learning with Shared Representation
Distributed Multi-Task Learning with Shared Representation
Jialei Wang
Mladen Kolar
Nathan Srebro
196
23
0
07 Mar 2016
Nonparametric Heterogeneity Testing For Massive Data
Nonparametric Heterogeneity Testing For Massive Data
Junwei Lu
Guang Cheng
Han Liu
205
20
0
23 Jan 2016
A Distributed One-Step Estimator
A Distributed One-Step Estimator
Cheng Huang
X. Huo
FedML
424
94
0
04 Nov 2015
Distributed Multitask Learning
Distributed Multitask Learning
Jialei Wang
Mladen Kolar
Nathan Srebro
202
79
0
02 Oct 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
272
86
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
405
188
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
429
120
0
10 Jul 2014
1
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