James Robert Lloyd
James Robert Lloyd
PhD from Machine Learning Group, Cambridge University
Verified email at cam.ac.uk - Homepage
TitleCited byYear
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
D Duvenaud, JR Lloyd, R Grosse, JB Tenenbaum, Z Ghahramani
International Conference on Machine Learning, 2013
2622013
Automatic Construction and Natural-Language Description of Nonparametric Regression Models
JR Lloyd, D Duvenaud, R Grosse, JB Tenenbaum, Z Ghahramani
Association for the Advancement of Artificial Intelligence (AAAI), 2014
1392014
Random function priors for exchangeable arrays with applications to graphs and relational data
JR Lloyd, P Orbanz, Z Ghahramani, DM Roy
Advance in Neural Information Processing Systems, 2013
842013
GEFCom2012 hierarchical load forecasting: Gradient boosting machines and Gaussian processes
JR Lloyd
International Journal of Forecasting 30 (2), 369-374, 2014
622014
Statistical model criticism using kernel two sample tests
JR Lloyd, Z Ghahramani
Advances in Neural Information Processing Systems, 829-837, 2015
422015
A brief review of the ChaLearn AutoML challenge: any-time any-dataset learning without human intervention
I Guyon, I Chaabane, HJ Escalante, S Escalera, D Jajetic, JR Lloyd, ...
Workshop on Automatic Machine Learning, 21-30, 2016
342016
Bisakha Ray, Lukasz Romaszko, Michele Sebag, Alexander Statnikov, Sébastien Treguer, and Evelyne Viegas. A brief review of the chalearn automl challenge: Any-time any-dataset …
I Guyon, I Chaabane, HJ Escalante, S Escalera, D Jajetic, JR Lloyd, ...
Proceedings of the Workshop on Automatic Machine Learning 64, 21-30, 2016
102016
Unsupervised many-to-many object matching for relational data
T Iwata, JR Lloyd, Z Ghahramani
IEEE transactions on pattern analysis and machine intelligence 38 (3), 607-617, 2015
102015
Gaussian process conditional copulas with applications to financial time series
JM Hernández-Lobato, JR Lloyd, D Hernández-Lobato
Advances in Neural Information Processing Systems, 1736-1744, 2013
82013
Structure discovery in nonparametric regression through compositional kernel search (2013)
D Duvenaud, JR Lloyd, R Grosse, JB Tenenbaum, Z Ghahramani
arXiv preprint arXiv:1302.4922, 0
7
Representation, learning, description and criticism of probabilistic models with applications to networks, functions and relational data
JR Lloyd
University of Cambridge, 2015
22015
The Automatic Statistician
C Steinruecken, E Smith, D Janz, J Lloyd, Z Ghahramani
Automated Machine Learning, 161-173, 2019
12019
Learning the semantics of discrete random variables: Ordinal or categorical
JM Hernández-Lobato, JR Lloyd, D Hernández-Lobato, Z Ghahramani
NIPS Workshop on Learning Semantics, 2014
12014
Exchangeable databases and their functional representation
JR Lloyd, P Orbanz, Z Ghahramani, DM Roy
12013
Automatic Construction and Natural-language Description of Additive Nonparametric Models
JR Lloyd, D Duvenaud, R Grosse, JB Tenenbaum, Z Ghahramani
2013
First MSR-MLG Joint Meeting
A Fitzgibbon, J Winn, D Tarlow, A Gordon, Z Ghahramani, J Lloyd, ...
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Articles 1–16