papers
Publications (6)
stat.ML2014
Simple approximate MAP Inference for Dirichlet processes
Yordan P. Raykov, Alexis Boukouvalas, Max A. Little
stat.ME2012
Gaussian Process Quantile Regression using Expectation Propagation
Alexis Boukouvalas, Remi Barillec, Dan Cornford
stat.ML2019
Decision Variance in Online Learning
Sattar Vakili, Alexis Boukouvalas, Qing Zhao
stat.ML2019
Enriched Mixtures of Gaussian Process Experts
Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas
stat.ML2016
GPflow: A Gaussian process library using TensorFlow
Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson +5
stat.ML2019
Adaptive Sensor Placement for Continuous Spaces
James A Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths +3