| Lagrangian Manifold Monte Carlo on Monge Patches | 0 | 0.34 | 2022 |
| Low-rank statistical finite elements for scalable model-data synthesis | 0 | 0.34 | 2022 |
| Convergence Guarantees For Gaussian Process Means With Misspecified Likelihoods And Smoothness | 0 | 0.34 | 2021 |
| Integration In Reproducing Kernel Hilbert Spaces Of Gaussian Kernels | 0 | 0.34 | 2021 |
| Precision-Recall Balanced Topic Modelling | 0 | 0.34 | 2019 |
| Minimum Stein Discrepancy Estimators. | 0 | 0.34 | 2019 |
| Statistical Inference for Generative Models with Maximum Mean Discrepancy. | 0 | 0.34 | 2019 |
| Stein Point Markov Chain Monte Carlo | 0 | 0.34 | 2019 |
| The synthesis of data from instrumented structures and physics-based models via Gaussian processes | 0 | 0.34 | 2019 |
| A Methodology For Prognostics Under The Conditions Of Limited Failure Data Availability | 0 | 0.34 | 2019 |
| Editorial: special edition on probabilistic numerics. | 0 | 0.34 | 2019 |
| Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success. | 0 | 0.34 | 2018 |
| Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?". | 0 | 0.34 | 2018 |
| Bayesian Quadrature for Multiple Related Integrals. | 2 | 0.36 | 2018 |
| A Bayesian Conjugate Gradient Method. | 1 | 0.35 | 2018 |
| Bat detective - Deep learning tools for bat acoustic signal detection. | 0 | 0.34 | 2018 |
| Geometry and Dynamics for Markov Chain Monte Carlo. | 2 | 0.41 | 2017 |
| Probabilistic Numerical Methods for PDE-constrained Bayesian Inverse Problems. | 3 | 0.44 | 2017 |
| Geometric MCMC for infinite-dimensional inverse problems. | 3 | 0.44 | 2017 |
| Statistical analysis of differential equations: introducing probability measures on numerical solutions. | 6 | 0.81 | 2017 |
| On the Sampling Problem for Kernel Quadrature. | 5 | 0.44 | 2017 |
| Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models | 4 | 0.40 | 2017 |
| Bayesian Probabilistic Numerical Methods. | 14 | 0.85 | 2017 |
| Control Functionals for Quasi-Monte Carlo Integration. | 0 | 0.34 | 2016 |
| A Bayesian approach to multiscale inverse problems with on-the-fly scale determination. | 1 | 0.38 | 2016 |
| Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian Inverse Problems. | 6 | 0.53 | 2016 |
| Special Issue: Big data and predictive computational modeling. | 3 | 0.42 | 2016 |
| Probabilistic Meshless Methods for Partial Differential Equations and Bayesian Inverse Problems. | 9 | 0.62 | 2016 |
| Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees | 11 | 0.76 | 2015 |
| Probabilistic Numerics and Uncertainty in Computations | 31 | 1.59 | 2015 |
| Probabilistic Integration. | 0 | 0.34 | 2015 |
| Ordinal Mixed Membership Models | 1 | 0.37 | 2015 |
| MCMC_CLIB-an advanced MCMC sampling package for ODE models. | 0 | 0.34 | 2014 |
| Putting the Scientist in the Loop - Accelerating Scientific Progress with Interactive Machine Learning. | 2 | 0.38 | 2014 |
| Pseudo-Marginal Bayesian Inference for Gaussian Processes | 11 | 1.05 | 2014 |
| Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions. | 5 | 0.71 | 2014 |
| Exact-Approximate Bayesian Inference for Gaussian Processes. | 3 | 0.48 | 2013 |
| Analysing user behaviour through dynamic population models | 2 | 0.39 | 2013 |
| A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices | 1 | 0.43 | 2012 |
| Markov chain Monte Carlo methods for state-space models with point process observations. | 5 | 0.62 | 2012 |
| On the use of diagonal and class-dependent weighted distances for the probabilistic k-nearest neighbor | 1 | 0.35 | 2011 |
| Protein interaction detection in sentences via Gaussian processes: a preliminary evaluation. | 5 | 0.51 | 2011 |
| Infinite factorization of multiple non-parametric views | 9 | 0.63 | 2010 |
| Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers. | 13 | 0.87 | 2010 |
| Multiclass Relevance Vector Machines: Sparsity and Accuracy | 39 | 1.64 | 2010 |
| Semi-parametric analysis of multi-rater data | 11 | 4.98 | 2010 |
| Estimating Bayes factors via thermodynamic integration and population MCMC | 43 | 2.83 | 2009 |
| Inferring Meta-covariates in Classification | 0 | 0.34 | 2009 |
| Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings | 35 | 2.01 | 2009 |
| Definition of Valid Proteomic Biomarkers: A Bayesian Solution | 1 | 0.40 | 2009 |
