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

16 July 2020

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

10 / 10 papers shown

Title
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine Canyi Chen Nan Qiao Liping Zhu 108 0 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 Emily C. Hector Amanda Lenzi 434 1 0 31 Dec 2024
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
Mini-batch Gradient Descent with Buffer Haobo Qi Du Huang Yingqiu Zhu Danyang Huang Hansheng Wang 45 1 0 14 Dec 2023
Quasi-Newton Updating for Large-Scale Distributed Learning Shuyuan Wu Danyang Huang Hansheng Wang 68 6 0 07 Jun 2023
Distributed model building and recursive integration for big spatial data modeling Emily C. Hector Brian J. Reich A. Eloyan 105 3 0 25 May 2023
Functional Regression with Intensively Measured Longitudinal Outcomes: A New Lens through Data Partitioning Cole Manschot Emily C. Hector 98 4 0 26 Jul 2022
Turning the information-sharing dial: efficient inference from different data sources Emily C. Hector Ryan Martin 59 6 0 18 Jul 2022
CEDAR: Communication Efficient Distributed Analysis for Regressions Changgee Chang Zhiqi Bu Q. Long 36 7 0 01 Jul 2022
Parallel-and-stream accelerator for computationally fast supervised learning Emily C. Hector Lan Luo P. Song 26 6 0 29 Oct 2021