James Robert Lloyd

According to our database, James Robert Lloyd authored at least 10 papers between 2012 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

The Automatic Statistician.

Christian Steinruecken, Emma Smith, David Janz, James Robert Lloyd, Zoubin Ghahramani

Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

2017

One-Shot Learning in Discriminative Neural Networks.

Jordan Burgess, James Robert Lloyd, Zoubin Ghahramani

CoRR, 2017

2016

Unsupervised Many-to-Many Object Matching for Relational Data.

Tomoharu Iwata, James Robert Lloyd, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2016

A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention.

Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante, Sergio Escalera, Damir Jajetic, James Robert Lloyd, Núria Macià, Bisakha Ray, Lukasz Romaszko, Michèle Sebag, Alexander R. Statnikov, Sébastien Treguer, Evelyne Viegas

Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016

The "Beyond the Fence" Musical and "Computer Says Show" Documentary.

Simon Colton, Maria Teresa Llano, Rose Hepworth, John William Charnley, Catherine V. Gale, Archie Baron, François Pachet, Pierre Roy, Pablo Gervás, Nick Collins, Bob L. Sturm, Tillman Weyde, Daniel Wolff, James Robert Lloyd

Proceedings of the Seventh International Conference on Computational Creativity, 2016

2015

Statistical Model Criticism using Kernel Two Sample Tests.

James Robert Lloyd, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Automatic Construction and Natural-Language Description of Nonparametric Regression Models.

James Robert Lloyd, David Duvenaud, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Gaussian Process Conditional Copulas with Applications to Financial Time Series.

José Miguel Hernández-Lobato, James Robert Lloyd, Daniel Hernández-Lobato

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Structure Discovery in Nonparametric Regression through Compositional Kernel Search.

David Duvenaud, James Robert Lloyd, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Random function priors for exchangeable arrays with applications to graphs and relational data.

James Robert Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel M. Roy

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012