Ata Kaban

Colleges, School and Institutes

Willingness to take PhD students

Yes

PhD projects

Ata Kaban’s research interests include:

Statistical machine learning - theory and practice
High-dimensional data spaces
Probabilistic modelling of data, Bayesian inference
Large scale heuristic optimisation
Dimensionality reduction, random projections, compressive learning, compressive optimisation

View graph of relations

Most downloaded publications

Learning kernel logistic regression in the presence of class label noise
Bootkrajang, J. & Ata Kaban, 1 Nov 2014, In : Pattern Recognition. 47, 11, p. 3641-3655 15 p.

Research output: Contribution to journal › Article

198 downloads
Special issue on advances in learning with label noise
Frénay, B. & Ata Kaban, 2015, In : Neurocomputing.

Research output: Contribution to journal › Editorial

117 downloads
Large scale continuous EDA using mutual information
Xu, Q., Sanyang, M. & Ata Kaban, 21 Nov 2016, Proceedings of the IEEE Congress on Evolutionary Computation. Institute of Electrical and Electronics Engineers (IEEE), 8 p. 16598

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

68 downloads
REMEDA: Random Embedding EDA for optimising functions with intrinsic dimension
Sanyang, M. & Ata Kaban, 2016, Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Springer, p. 859-868 10 p. (Lecture Notes in Computer Science; vol. 9921).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

52 downloads
How effective is Cauchy-EDA in high dimensions?
Sanyang, M., Bob Durrant & Ata Kaban, 21 Nov 2016, Proceedings of the IEEE Congress on Evolutionary Computation 2016. Institute of Electrical and Electronics Engineers (IEEE), 8 p. 16557

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

41 downloads

Recent publications

Large scale estimation of distribution algorithms with adaptive heavy tailed random projection ensembles
Sanyang, M. & Ata Kaban, 20 Sep 2019, (Accepted/In press) In : Journal of Computer Science and Technology. 21 p.

Research output: Contribution to journal › Article

Robust randomized optimization with k nearest neighbors
Henry Reeve & Ata Kaban, 1 Sep 2019, In : Analysis and Applications. 17, 5, p. 819-836 18 p.

Research output: Contribution to journal › Article

Classification with unknown class-conditional label noise on non-compact feature spaces
Henry Reeve & Ata Kaban, 17 Aug 2019, 32nd Annual Conference on Learning Theory (COLT 19). Proceedings of Machine Learning Research, Vol. 99. p. 2624-2651 28 p. (Proceedings of Machine Learning Research; vol. 99).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

View all (84)