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Distributed Kernel Ridge Regression with Communications

Distributed Kernel Ridge Regression with Communications

27 March 2020
Shao-Bo Lin
Di Wang
Ding-Xuan Zhou
ArXiv (abs)PDFHTML

Papers citing "Distributed Kernel Ridge Regression with Communications"

8 / 8 papers shown
Title
Optimal Kernel Quantile Learning with Random Features
Optimal Kernel Quantile Learning with Random Features
Caixing Wang
Xingdong Feng
148
1
0
24 Aug 2024
Minimax Optimal Transfer Learning for Kernel-based Nonparametric
  Regression
Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression
Chao Wang
Caixing Wang
Xin He
Xingdong Feng
47
2
0
21 Oct 2023
A review of distributed statistical inference
A review of distributed statistical inference
Yuan Gao
Weidong Liu
Hansheng Wang
Xiaozhou Wang
Yibo Yan
Riquan Zhang
74
43
0
13 Apr 2023
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes
Di Wang
Yao Wang
Shaojie Tang
OffRL
143
1
0
21 Feb 2023
A Decentralized Framework for Kernel PCA with Projection Consensus
  Constraints
A Decentralized Framework for Kernel PCA with Projection Consensus Constraints
Fan He
Ruikai Yang
Lei Shi
Xiaolin Huang
81
2
0
29 Nov 2022
Total Stability of SVMs and Localized SVMs
Total Stability of SVMs and Localized SVMs
H. Köhler
A. Christmann
43
4
0
29 Jan 2021
Distributed Learning with Dependent Samples
Distributed Learning with Dependent Samples
Zirui Sun
Shao-Bo Lin
53
7
0
10 Feb 2020
Towards Sharp Analysis for Distributed Learning with Random Features
Towards Sharp Analysis for Distributed Learning with Random Features
Jian Li
Yong Liu
Weiping Wang
64
3
0
07 Jun 2019
1