Statistical Model Criticism using Kernel Two Sample Tests
James Robert Lloyd, Zoubin Ghahramani
Neural Information Processing Systems, 2015
preprint | code | bibtex
Unsupervised Many-to-Many Object Matching for Relational Data
Tomoharu Iwata, James Robert Lloyd, Zoubin Ghahramani
Pattern Analysis and Machine Intelligence, 2015
submitted | published | bibtex
Representation, learning, description and criticism of probabilistic models with applications to networks, functions and relational data
James Robert Lloyd
PhD Thesis, University of Cambridge, 2014
pdf | github | bibtex
Automatic Construction and Natural-Language Description of Nonparametric Regression Models
James Robert Lloyd, David Duvenaud, Roger Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani
Association for the Advancement of Artificial Intelligence (AAAI) Conference, 2014
pdf | slides | code | examples | bibtex
Gaussian Process Conditional Copulas with Applications to Financial Time Series
José Miguel Hernández-Lobato, James Robert Lloyd, Daniel Hernández-Lobato
Neural Information Processing Systems, 2013
pdf | code | bibtex
GEFCom2012 Hierarchical Load Forecasting: Gradient Boosting Machines and Gaussian Processes
James Robert Lloyd
International Journal of Forecasting, 2013
Presented at IEEE Power and Energy Society General Meeting 2013
preprint | published | code | slides | bibtex
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
David Duvenaud, James Robert Lloyd, Roger Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani
International Conference on Machine Learning, 2013
pdf | code | poster | bibtex
Random function priors for exchangeable arrays with applications to graphs and relational data
James Robert Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel Roy
Neural Information Processing Systems, 2012
pdf | code | poster | bibtex