Large-scale Heteroscedastic Regression via Gaussian Process

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Large-scale Heteroscedastic Regression via Gaussian Process

3 November 2018

Jianfei Cai

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Papers citing "Large-scale Heteroscedastic Regression via Gaussian Process"

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Title
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel Richard Cornelius Suwandi Zhidi Lin Feng Yin Zhiguo Wang Sergios Theodoridis GP 144 1 0 17 Jan 2025
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 153 2 0 12 Dec 2023
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty Rel Guzman Rafael Oliveira Fabio Ramos 77 3 0 01 Mar 2022
Modulating Scalable Gaussian Processes for Expressive Statistical Learning Haitao Liu Yew-Soon Ong Xiaomo Jiang Xiaofang Wang 44 4 0 29 Aug 2020
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation Ryan-Rhys Griffiths Alexander A. Aldrick Miguel García-Ortegón Vidhi R. Lalchand A. Lee 97 35 0 17 Oct 2019
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 136 697 0 03 Jul 2018