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Dr Robert J. Durrant

Senior Lecturer, Academic Programme Convenor (Statistics)

Qualifications: BSc(Hons) Open; MSc Birm; PhD Birm

Contact Details

Email: bobd@waikato.ac.nz
Room: G.3.31
Phone: +64 7 8562889 ext.8334
Extension: 8334
Website: https://www.cms.waikato.ac.nz/~bobd/

About Robert

Bob joined the Department of Statistics as a lecturer in July 2013, following a short stint as a post-doctoral researcher at the University of Birmingham, UK. He has a BSc(Hons) with first-class honours in Mathematical Sciences, obtained through the Open University while still working in industry, an MSc with distinction in Natural Computation from the University of Birmingham, and a PhD in Computer Science also from Birmingham.

Research Interests

Machine Learning and Statistical Pattern Recognition.

Dimensionality Reduction and Feature Selection.

Heuristic Optimization.

Learning Theory and Mathematical Statistics, especially non-asymptotic (finite sample) theory.

Random Matrix Theory.

Measure Concentration.

Applications of all of the above.  In particular using theory to better understand existing techniques, and to develop efficient, effective, and principled methods for high-dimensional problems with performance guarantees.

Teaching Commitments

Recent Publications

  • Gomes, H., Read, J., Bifet, A., & Durrant, R. J. (2021). Learning from evolving data streams through ensembles of random patches. Knowledge and Information Systems, 63(7), 1597-1625. doi:10.1007/s10115-021-01579-z

  • Kaban, A., & Durrant, R. J. (2020). Structure from randomness in halfspace learning with the zero-one loss. Journal of Artificial Intelligence Research, 69, 733-764. doi:10.1613/jair.1.11506 Open Access version: https://hdl.handle.net/10289/13964

  • Lim, N. J. S., & Durrant, R. J. (2020). A diversity-aware model for majority vote ensemble accuracy. In S. Chiappa, & R. Calandra (Eds.), Proc 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) Vol. 108 (pp. 4078-4086). Electra Network: Addison-Wesley Publ Co. Retrieved from http://gateway.webofknowledge.com/ Open Access version: https://hdl.handle.net/10289/13951

  • Lee, W. S., & Durrant, R. J. (2018). Foreword: Special Issue for the Journal Track of the 9th Asian Conference on Machine Learning (ACML 2017). Machine Learning, 107, 639-641. doi:10.1007/s10994-017-5691-z

Find more research publications by Robert Durrant