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Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process
  Regression

Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression

9 December 2014
Jun Wei Ng
M. Deisenroth
ArXivPDFHTML

Papers citing "Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression"

7 / 7 papers shown
Title
Ensemble and Mixture-of-Experts DeepONets For Operator Learning
Ensemble and Mixture-of-Experts DeepONets For Operator Learning
Ramansh Sharma
Varun Shankar
60
0
0
20 May 2024
Gaussian Process-Gated Hierarchical Mixtures of Experts
Gaussian Process-Gated Hierarchical Mixtures of Experts
Yuhao Liu
Marzieh Ajirak
P. Djuric
MoE
16
1
0
09 Feb 2023
Empirical Asset Pricing via Ensemble Gaussian Process Regression
Empirical Asset Pricing via Ensemble Gaussian Process Regression
Damir Filipović
P. Pasricha
26
3
0
02 Dec 2022
Redesigning Multi-Scale Neural Network for Crowd Counting
Redesigning Multi-Scale Neural Network for Crowd Counting
Zhipeng Du
Miaojing Shi
Jiankang Deng
S. Zafeiriou
36
44
0
04 Aug 2022
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent
  Federated Learning
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning
George P. Kontoudis
D. Stilwell
FedML
19
8
0
06 Mar 2022
Recent Advances in Data-Driven Wireless Communication Using Gaussian
  Processes: A Comprehensive Survey
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey
Kai Chen
Qinglei Kong
Yijue Dai
Yue Xu
Feng Yin
Lexi Xu
Shuguang Cui
35
30
0
18 Mar 2021
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian
  Processes: A Scalable and Regularized Approach
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach
Raed Al Kontar
Garvesh Raskutti
Shiyu Zhou
14
22
0
31 Jan 2019
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