Non-linear process convolutions for multi-output Gaussian processes

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Non-linear process convolutions for multi-output Gaussian processes

10 October 2018

Mauricio A. Alvarez

Cristian Guarnizo Lemus

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Papers citing "Non-linear process convolutions for multi-output Gaussian processes"

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Title
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 114 2 0 22 Feb 2024
GAR: Generalized Autoregression for Multi-Fidelity Fusion Yuxin Wang Zhengrong Xing Wei W. Xing AI4CE 52 3 0 13 Jan 2023
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects Thanh Vinh Vo Arnab Bhattacharyya Young Lee Tze-Yun Leong FedML 59 22 0 01 Jan 2023
Federated Estimation of Causal Effects from Observational Data Thanh Vinh Vo T. Hoang Young Lee Tze-Yun Leong FedML CML 70 13 0 31 May 2021
On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes Moyan Li Raed Al Kontar 47 7 0 06 Apr 2020
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes Seokhyun Chung Raed Al Kontar Zhenke Wu 30 5 0 19 Feb 2020
Continual Multi-task Gaussian Processes P. Moreno-Muñoz A. Artés-Rodríguez Mauricio A. Alvarez 80 13 0 31 Oct 2019
Black-Box Inference for Non-Linear Latent Force Models W. Ward Tom Ryder D. Prangle Mauricio A. Alvarez DRL 69 14 0 21 Jun 2019