Research

Below is a selection of research articles relating to the Automatic Statistician project.
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes
Hyunjik Kim, Yee Whye Teh
Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (2018)
pdf | supplementary pdf | arxiv | bibtex
The Automatic Statistician: A Relational Perspective
Yunseong Hwang, Anh Tong, Jaesik Choi
ICML 2016: Proceedings of the 33rd International Conference on Machine Learning (2016).
pdf | supplementary pdf | arxiv | slides | bibtex-1 | bibtex-2
Statistical Model Criticism using Kernel Two Sample Tests
James Robert Lloyd, Zoubin Ghahramani
Advances in Neural Information Processing Systems 28 (2015)
pdf | code | 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 | code | examples | 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
Exploiting compositionality to explore a large space of model structures
Roger Grosse, Ruslan Salakhutdinov, William T. Freeman, Joshua B. Tenenbaum
Proceedings of the 28th Conference in Uncertainty in Artificial Intelligence (2012)
pdf | slides | code | bibtex
The Automatic Statistician for Classification
Qiurui Charles He
Master's Thesis. Department of Engineering, University of Cambridge (2016).
code | bibtex | pdf (available on request) | slides (available on request)
Towards an Artificial Intelligence for Regression
Riaz Moola
Master's Thesis. Computer Laboratory, University of Cambridge (2015).
pdf | bibtex
Kernel Structure Discovery for Gaussian Process Classification
Nikola Mrkšić
Master's Thesis. Computer Laboratory, University of Cambridge (2014).
pdf | bibtex
The Automatic Statistician and Future Directions in Probabilistic Machine Learning
Zoubin Ghahramani
Presentation at the Machine Learning Summer School, Tübingen (2015)
slides | bibtex