Mark Girolami
26 papers · 1997–2025 · 4 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 35% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Mark Girolami?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with François-Xavier Briol, Chris Oates, Alessandro Barp
9 papers
· 2015–2024
· NeurIPS, ICML, JMLR
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Targeted Separation and Convergence with Kernel Discrepancies
JMLR 2024
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness
JMLR 2021
Minimum Stein Discrepancy Estimators
NeurIPS 2019
Stein Point Markov Chain Monte Carlo
ICML 2019
Bayesian Quadrature for Multiple Related Integrals
ICML 2018
On the Sampling Problem for Kernel Quadrature
ICML 2017
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models
NeurIPS 2017
Control Functionals for Quasi-Monte Carlo Integration
AISTATS 2016
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
NeurIPS 2015
8 papers whose co-authors appear nowhere else under this name
Autoencoders in Function Space
JMLR 2025
Random Grid Neural Processes for Parametric Partial Differential Equations
ICML 2023
Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel
AISTATS 2014
Analysis of SVM with Indefinite Kernels
NeurIPS 2009
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
NeurIPS 2008
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm
NeurIPS 2006
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation
NeurIPS 2006
Multi-class Semi-supervised Learning with the ε-truncated Multinomial Probit Gaussian Process
AISTATS 1997