| 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 | 636 | 2013 |
| 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 | 287 | 2014 |
| 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 | 142 | 2013 |
| GEFCom2012 hierarchical load forecasting: Gradient boosting machines and Gaussian processes JR Lloyd International Journal of Forecasting 30 (2), 369-374, 2014 | 141 | 2014 |
| Statistical model criticism using kernel two sample tests JR Lloyd, Z Ghahramani Advances in neural information processing systems 28, 2015 | 103 | 2015 |
| 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 | 96 | 2016 |
| The automatic statistician C Steinruecken, E Smith, D Janz, J Lloyd, Z Ghahramani Automated machine learning: Methods, systems, challenges, 161-173, 2019 | 90 | 2019 |
| 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 | 24 | 2015 |
| Gaussian process conditional copulas with applications to financial time series JM Hernández-Lobato, JR Lloyd, D Hernández-Lobato Advances in Neural Information Processing Systems 26, 2013 | 20 | 2013 |
| Bisakha Ray, Lukasz Romaszko, Michèle Sebag, Alexander Statnikov, Sébastien Treguer, and Evelyne Viegas. 2016. A brief review of the ChaLearn AutoML challenge: any-time any … I Guyon, I Chaabane, HJ Escalante, S Escalera, D Jajetic, JR Lloyd, ... Proceedings of the Workshop on Automatic Machine Learning (Proceedings of …, 2015 | 16 | 2015 |
| 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 | 12 | |
| Bisakha Ray, Lukasz Romaszko, Michele Sebag, et al. 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 | 9 | 2016 |
| 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 | 3 | 2014 |
| Representation, learning, description and criticism of probabilistic models with applications to networks, functions and relational data JR Lloyd University of Cambridge, 2015 | 2 | 2015 |
| Exchangeable databases and their functional representation JR Lloyd, P Orbanz, Z Ghahramani, DM Roy | 2 | 2013 |
| Automatic Construction and Natural-language Description of Additive Nonparametric Models JR Lloyd, D Duvenaud, R Grosse, JB Tenenbaum, Z Ghahramani | | 2013 |
| Publisher's acknowledgement DR Allred, D Jasmer, JJ Arends, M Jenkins, DJ Argyle, TJ Kennedy, ... Veterinary Parasitology 69, 159, 1997 | | 1997 |
| Introduction to probabilistic programming D Duvenaud, J Lloyd, DM Roy | | |
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleDirección de correo verificada de eng.cam.ac.uk
