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Doubly Distributed Supervised Learning and Inference with
  High-Dimensional Correlated Outcomes

Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes

Journal of machine learning research (JMLR), 2020
16 July 2020
Emily C. Hector
P. Song
    FedML
ArXiv (abs)PDFHTML

Papers citing "Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes"

11 / 11 papers shown
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector MachineJournal of the American Statistical Association (JASA), 2025
Canyi Chen
Nan Qiao
Liping Zhu
299
1
0
10 Mar 2025
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer
Emily C. Hector
Amanda Lenzi
693
3
0
31 Dec 2024
Grid Point Approximation for Distributed Nonparametric Smoothing and
  Prediction
Grid Point Approximation for Distributed Nonparametric Smoothing and PredictionJournal of Computational And Graphical Statistics (JCGS), 2024
Yuan Gao
Rui Pan
Feng Li
Riquan Zhang
Hansheng Wang
202
0
0
21 Sep 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
231
18
0
17 Mar 2024
Mini-batch Gradient Descent with Buffer
Mini-batch Gradient Descent with Buffer
Haobo Qi
Du Huang
Yingqiu Zhu
Danyang Huang
Hansheng Wang
284
1
0
14 Dec 2023
Quasi-Newton Updating for Large-Scale Distributed Learning
Quasi-Newton Updating for Large-Scale Distributed Learning
Shuyuan Wu
Danyang Huang
Hansheng Wang
307
11
0
07 Jun 2023
Distributed model building and recursive integration for big spatial
  data modeling
Distributed model building and recursive integration for big spatial data modelingBiometrics (Biometrics), 2023
Emily C. Hector
Brian J. Reich
A. Eloyan
284
3
0
25 May 2023
Functional Regression with Intensively Measured Longitudinal Outcomes: A
  New Lens through Data Partitioning
Functional Regression with Intensively Measured Longitudinal Outcomes: A New Lens through Data PartitioningCanadian journal of statistics (CJS), 2022
Cole Manschot
Emily C. Hector
257
4
0
26 Jul 2022
Turning the information-sharing dial: efficient inference from different
  data sources
Turning the information-sharing dial: efficient inference from different data sourcesElectronic Journal of Statistics (EJS), 2022
Emily C. Hector
Ryan Martin
360
9
0
18 Jul 2022
CEDAR: Communication Efficient Distributed Analysis for Regressions
CEDAR: Communication Efficient Distributed Analysis for Regressions
Changgee Chang
Zhiqi Bu
Q. Long
228
7
0
01 Jul 2022
Parallel-and-stream accelerator for computationally fast supervised
  learning
Parallel-and-stream accelerator for computationally fast supervised learningComputational Statistics & Data Analysis (CSDA), 2021
Emily C. Hector
Lan Luo
P. Song
217
10
0
29 Oct 2021
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