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Browsing publications by Professor Chris Oates

Newcastle AuthorsTitleYearFull text
Professor Chris Oates
Online Semiparametric Regression via Sequential Monte Carlo2025
Dr Zheyang Shen
Sam Power
Professor Chris Oates
Prediction-Centric Uncertainty Quantification via MMD2025
Professor Chris Oates
Probabilistic Richardson Extrapolation2025
Congye Wang
Dr Heishiro Kanagawa
Professor Chris Oates
Reinforcement Learning for Adaptive MCMC2025
Professor Chris Oates
Scalable Monte Carlo for Bayesian Learning2025
Takuo Matsubara
Professor Chris Oates
Generalized Bayesian Inference for Discrete Intractable Likelihood2024
Professor Emilio Porcu
Professor Chris Oates
The Matérn Model: A Journey Through Statistics, Numerical Analysis and Machine Learning2024
Professor Chris Oates
Cell to Whole Organ Global Sensitivity Analysis on a Four-chamber Electromechanics Model Using Gaussian Processes Emulators2023
Matthew Fisher
Professor Chris Oates
Gradient-Free Kernel Stein Discrepancy2023
Matthew Fisher
Professor Chris Oates
Gradient-Free Kernel Stein Discrepancy2023
Dr Toni Karvonen
Professor Chris Oates
Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed2023
Professor Chris Oates
Meta-learning Control Variates: Variance Reduction with Limited Data2023
Professor Chris Oates
Regularized Zero-Variance Control Variates2023
Professor Chris Oates
Review of "Probabilistic Numerics" by Hennig, Osborne and Kersting2023
Professor Emilio Porcu
Professor Chris Oates
Sobolev Spaces, Kernels and Discrepancies over Hyperspheres2023
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