Chris J. Oates

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Improved Calibration of Numerical Integration Error in Sigma-Point Filters pdf

Ondrej Straka, Simo Särkkä, Jakub Prüher, 2018, IEEE Transactions on Automatic Control.

Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models

Mark A. Girolami, Steven Niederer, Chris J. Oates, 2016, NIPS.

Probabilistic Meshless Methods for Partial Differential Equations and Bayesian Inverse Problems pdf

Mark A. Girolami, Chris J. Oates, Tim Sullivan, 2016, ArXiv.

Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions pdf

Simo Särkkä, George Wynne, Toni Karvonen, 2020, SIAM/ASA J. Uncertain. Quantification.

Network inference using steady-state data and Goldbeter-Koshland kinetics

Chris J. Oates, Sach Mukherjee, Yiling Lu, 2012, Bioinform..

Probabilistic Integration: A Role for Statisticians in Numerical Analysis?

Michael A. Osborne, Mark Girolami, Dino Sejdinovic, 2015 .

Toward a Multisubject Analysis of Neural Connectivity

Chris J. Oates, Lilia Carneiro da Costa, Tom E. Nichols, 2014, Neural Computation.

Joint estimation of multiple networks from time course data

Joe W. Gray, Chris J. Oates, Sach Mukherjee, 2013 .

Estimating Causal Structure Using Conditional DAG Models

Jim Q. Smith, Chris J. Oates, Sach Mukherjee, 2014, J. Mach. Learn. Res..

Causal network inference using biochemical kinetics

Joe W. Gray, Chris J. Oates, Sach Mukherjee, 2014, Bioinform..

Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees

Michael A. Osborne, Mark A. Girolami, Chris J. Oates, 2015, NIPS.

A Bayesian Conjugate Gradient Method pdf

Mark A. Girolami, Chris J. Oates, Jon Cockayne, 2018, Bayesian Analysis.

Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?" pdf

Michael A. Osborne, Mark A. Girolami, Dino Sejdinovic, 2018, Statistical Science.

A stochastic model dissects cellular states and heterogeneity in transition processes

Chris J. Oates, Mario Nicodemi, Rudolf Jaenisch, 2014 .

On the Sampling Problem for Kernel Quadrature

Mark A. Girolami, Chris J. Oates, François-Xavier Briol, 2017, ICML.

Stein Points

Lester W. Mackey, Chris J. Oates, François-Xavier Briol, 2018, ICML.

Editorial: special edition on probabilistic numerics

Ilse C. F. Ipsen, T. J. Sullivan, Mark Girolami, 2019, Statistics and computing.

Joint Structure Learning of Multiple Non-Exchangeable Networks

Chris J. Oates, Sach Mukherjee, S. Mukherjee, 2014, AISTATS.

The Controlled Thermodynamic Integral for Bayesian Model Evidence Evaluation

Mark Girolami, Theodore Papamarkou, Chris J. Oates, 2016 .

A Bayes-Sard Cubature Method

Simo Särkkä, Toni Karvonen, Chris J. Oates, 2018, NeurIPS.

Bayesian Probabilistic Numerical Methods

Mark A. Girolami, Chris J. Oates, Tim Sullivan, 2017, SIAM Rev..

Exact estimation of multiple directed acyclic graphs

Jim Q. Smith, James Cussens, Chris J. Oates, 2014, Stat. Comput..

Probabilistic Numerical Methods for PDE-constrained Bayesian Inverse Problems pdf

Mark A. Girolami, Chris J. Oates, Tim Sullivan, 2017, ArXiv.

Probabilistic Integration pdf

Michael A. Osborne, Mark A. Girolami, Dino Sejdinovic, 2015, ArXiv.

Minimum Discrepancy Methods in Uncertainty Quantification

Chris J. Oates, 2021 .

Integration in reproducing kernel Hilbert spaces of Gaussian kernels

Mark Girolami, Toni Karvonen, Chris J. Oates, 2020, Math. Comput..

Post-Processing of MCMC

Chris J. Oates, Marina Riabiz, Onur Teymur, 2021 .

Discussion of "Unbiased Markov chain Monte Carlo with couplings" by Pierre E. Jacob, John O'Leary and Yves F. Atchad\'e

Chris J. Oates, Leah F. South, C. Oates, 2019 .

The Controlled Thermodynamic Integral for Bayesian Model Comparison

Mark Girolami, Theodore Papamarkou, Chris J. Oates, 2014, 1404.5053.

The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks pdf

Franccois-Xavier Briol, Chris J. Oates, Takuo Matsubara, 2020, ArXiv.

Probabilistic Integration and Intractable Distributions

Mark Girolami, Chris J. Oates, François-Xavier Briol, 2016 .

Probabilistic Numerical Methods for Partial Differential Equations and Bayesian Inverse Problems ∗

Mark Girolami, Chris J. Oates, Jon Cockayne, 2018 .

A Role for Symmetry in the Bayesian Solution of Differential Equations

Chris J. Oates, Jon Cockayne, Junyang Wang, 2019, Bayesian Analysis.