Girolami, Mark A.

12 publications

JMLR 2018 How Deep Are Deep Gaussian Processes? Matthew M. Dunlop, Mark A. Girolami, Andrew M. Stuart, Aretha L. Teckentrup

AISTATS 2016 Control Functionals for Quasi-Monte Carlo Integration Chris J. Oates, Mark A. Girolami

AISTATS 2014 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

MLJ 2013 A Comparative Evaluation of Stochastic-Based Inference Methods for Gaussian Process Models Maurizio Filippone, Mingjun Zhong, Mark A. Girolami

ICML 2012 A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices Mingjun Zhong, Mark A. Girolami

MLJ 2010 Infinite Factorization of Multiple Non-Parametric Views Simon Rogers, Arto Klami, Janne Sinkkonen, Mark A. Girolami, Samuel Kaski

ICML 2005 Hierarchic Bayesian Models for Kernel Learning Mark A. Girolami, Simon Rogers

NeCo 2002 Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem Mark A. Girolami

NeCo 2001 A Variational Method for Learning Sparse and Overcomplete Representations Mark A. Girolami

NeCo 2001 An Expectation-Maximization Approach to Nonlinear Component Analysis Roman Rosipal, Mark A. Girolami

NeCo 1999 Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources Te-Won Lee, Mark A. Girolami, Terrence J. Sejnowski

NeCo 1998 An Alternative Perspective on Adaptive Independent Component Analysis Algorithms Mark A. Girolami