| 2019 | ICML | Stein Point Markov Chain Monte Carlo. | Wilson Ye Chen, Alessandro Barp, Franois-Xavier Briol, Jackson Gorham, Mark A. Girolami, Lester W. Mackey, Chris J. Oates |
| 2018 | ICML | Bayesian Quadrature for Multiple Related Integrals. | Xiaoyue Xi, Franois-Xavier Briol, Mark A. Girolami |
| 2017 | ICML | On the Sampling Problem for Kernel Quadrature. | Franois-Xavier Briol, Chris J. Oates, Jon Cockayne, Wilson Ye Chen, Mark A. Girolami |
| 2016 | AISTATS | Control Functionals for Quasi-Monte Carlo Integration. | Chris J. Oates, Mark A. Girolami |
| 2015 | ICML | Ordinal Mixed Membership Models. | Seppo Virtanen, Mark A. Girolami |
| 2014 | AISTATS | Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel. | Vassilios Stathopoulos, Veronica Zamora-Gutierrez, Kate E. Jones, Mark A. Girolami |
| 2014 | ICPR | Putting the Scientist in the Loop - Accelerating Scientific Progress with Interactive Machine Learning. | Oisin Mac Aodha, Vassilios Stathopoulos, Gabriel J. Brostow, Michael Terry, Mark A. Girolami, Kate E. Jones |
| 2013 | CHI | Analysing user behaviour through dynamic population models. | Matthew Higgs, Alistair Morrison, Mark A. Girolami, Matthew Chalmers |
| 2012 | ICML | A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices. | Mingjun Zhong, Mark A. Girolami |
| 2011 | IBPRIA | On the Use of Diagonal and Class-Dependent Weighted Distances for the Probabilistic k-Nearest Neighbor. | Roberto Paredes, Mark A. Girolami |
| 2008 | ICMLA | Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins. | Theodoros Damoulas, Yiming Ying, Mark A. Girolami, Colin Campbell |
| 2007 | CoNEXT | Detecting worm variants using machine learning. | Oliver Sharma, Mark A. Girolami, Joseph S. Sventek |
| 2005 | ICML | Hierarchic Bayesian models for kernel learning. | Mark A. Girolami, Simon Rogers |
| 2005 | SIGIR | Probabilistic hyperspace analogue to language. | Leif Azzopardi, Mark A. Girolami, Malcolm K. Crowe |
| 2004 | IDEAL | An Assessment of Feature Relevance in Predicting Protein Function from Sequence. | Ali Al-Shahib, Chao He, Aik Choon Tan, Mark A. Girolami, David R. Gilbert |
| 2004 | SIGIR | User biased document language modelling. | Leif Azzopardi, Mark A. Girolami, Cornelis Joost van Rijsbergen |
| 2003 | SIGIR | Investigating the relationship between language model perplexity and IR precision-recall measures. | Leif Azzopardi, Mark A. Girolami, Keith van Rijsbergen |
| 2003 | SIGIR | On an equivalence between PLSI and LDA. | Mark A. Girolami, Ata Kabn |
| 2002 | IDEAL | A General Framework for a Principled Hierarchical Visualization of Multivariate Data. | Ata Kabn, Peter Tio, Mark A. Girolami |
| 2001 | WWW | Finding Topics in Dynamical Text: Application to Chat Line Discussions. | Ella Bingham, Ata Kabn, Mark A. Girolami |
| 2000 | ESANN | A generative model for sparse discrete binary data with non-uniform categorical priors. | Mark A. Girolami |
| 2000 | ICPR | Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents. | Ata Kabn, Mark A. Girolami |
| 2000 | ICPR | Probabilistic Hierarchical Clustering Method for Organizing Collections of Text Documents. | Alexei Vinokourov, Mark A. Girolami |
| 1998 | ICASSP | Noise reduction and speech enhancement via temporal anti-Hebbian learning. | Mark A. Girolami |
| 1997 | ESANN | Independence is far from normal. | Mark A. Girolami, Colin Fyfe |
| 1997 | ICASSP | Kurtosis extrema and identification of independent components: a neural network approach. | Mark A. Girolami, Colin Fyfe |