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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

31 January 2019
Raed Al Kontar
Garvesh Raskutti
Shiyu Zhou
ArXivPDFHTML

Papers citing "Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach"

4 / 4 papers shown
Title
Regularized Multi-output Gaussian Convolution Process with Domain
  Adaptation
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation
Wang Xinming
Wang Chao
Song Xuan
Kirby Levi
Wu Jianguo
21
7
0
04 Sep 2024
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent:
  Convergence Guarantees and Empirical Benefits
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
Hao Chen
Lili Zheng
Raed Al Kontar
Garvesh Raskutti
22
3
0
19 Nov 2021
Online Domain Adaptation for Continuous Cross-Subject Liver Viability
  Evaluation Based on Irregular Thermal Data
Online Domain Adaptation for Continuous Cross-Subject Liver Viability Evaluation Based on Irregular Thermal Data
Sahand Hajifar
Hongyue Sun
18
7
0
24 Nov 2020
Functional Principal Component Analysis for Extrapolating Multi-stream
  Longitudinal Data
Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data
Seokhyun Chung
Raed Al Kontar
17
9
0
09 Mar 2019
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