These pages contain selected publications which serve as examples of the contributions by the researchers at Oxford and the ATI.
Publications by Oxford researchers funded by the Alan Turing Institute are included.
Global and local information in clustering labelled block models
Reference
Kanade, V., Mossel, E. and Schramm, T. (2016) ‘Global and local information in clustering labelled block models’, 18th International Workshop on Randomization and Computation (RANDOM 2014), . doi: 10.1109/TIT.2016.2516564.
No publisher link available
Author
 | Dr. Varun Kanade |
Evaluating the Paper-to-Screen Translation of Participant-Aided Sociograms with High-Risk Participants
Reference
Hogan, B., Melville, J., Phillips II, G., Janulis, P., Contractor, N., Mustanski, B., & Birkett, M. (2016) ‘Evaluating the Paper-to-Screen Translation of Participant-Aided Sociograms with High-Risk Participants’, 2016 Conference on Human Factors in Computing.
Full text available at dl.acm.org
Author
 | Dr. Bernie Hogan |
DR-ABC: Approximate Bayesian computation with kernel-based distribution regression
Reference
Mitrovic, J., Sejdinovic, D. and Teh, Y.W. (2016) ‘DR-ABC: Approximate Bayesian computation with kernel-based distribution regression’, International Conference on Machine Learning (ICML).
Full text available at arxiv.org
Authors
 | Prof. Dino Sejdinovic |
 | Prof. Yee Whye Teh |
First-Generation Students and College: The Role of Facebook Networks as Information Sources
Reference
Jeon, G. Y., Ellison, N. B., Hogan, B., & Greenhow, C. (2016) ‘First-Generation Students and College: The Role of Facebook Networks as Information Sources’, 2016 ACM Conference on Computer-Supported Cooperative Work and Social Computing.
Full text available at dl.acm.org
Author
| Dr. Bernie Hogan |
Learning Linear Regression Models over Factorized Joins
Reference
Schleich, M., Olteanu, D. and Ciucanu, R. (2016) ‘Learning Linear Regression Models over Factorized Joins’, ACM SIGMOD.
Full text available at dl.acm.org
Author
 | Prof. Dan Olteanu |
Generalized Pólya urn for time-varying Pitman-Yor processes
Reference
Caron, F., Neiswanger, W., Wood, F., Doucet, A. and Davy, M. (2016) ‘Generalized Pólya urn for time-varying Pitman-Yor processes’,Journal of Machine Learning Research.
Full text available at www.stats.ox.ac.uk
Author
 | Prof. Frank Wood |
Inference networks for Sequential Monte Carlo in graphical models
Reference
Paige, B. and Wood, F. (2016) ‘Inference networks for Sequential Monte Carlo in graphical models’.
Full text available at arxiv.org
Author
| Prof. Frank Wood |
A roadmap for the computation of persistent homology
Reference
Otter, N., Tillmann, U., Grindrod, P., Harrington, H.A. and Porter, M.A. (2016) ‘A roadmap for the computation of persistent homology’.
Full text available at arxiv.org
Authors
 | Prof. Ulrike Tillmann |
 | Nina Otter |
Low rank matrix completion by alternating steepest descent methods
Reference
Tanner, J. and Wei, K. (2016) ‘Low rank matrix completion by alternating steepest descent methods’, Applied and Computational Harmonic Analysis, 40(2), pp. 417–429. doi: 10.1016/j.acha.2015.08.003.
Full text available at www.sciencedirect.com
Author
 | Dr. Mariarosaria Taddeo |
Understanding editing behaviors in multilingual Wikipedia
Reference
Kim, S., Park, S., Hale, S.A., Byun, J. and Oh, A.H. (2016) ‘Understanding editing behaviors in multilingual Wikipedia’,PLOS ONE, 11(5). doi: 10.1371/journal.pone.0155305.
Full text available at journals.plos.org
Author
 | Dr. Scott A. Hale |