Recent publications
Article
Kaban, A & Durrant, RJ 2020, 'Structure from Randomness in Halfspace Learning with the Zero-One Loss', Journal of Artificial Intelligence Research.
Kaban, A 2020, 'Sufficient ensemble size for random matrix theory-based handling of singular covariance matrices', Analysis and Applications, vol. 18, no. 5, pp. 929-950. https://doi.org/10.1142/S0219530520400072
Sanyang, M & Kaban, A 2019, 'Large scale estimation of distribution algorithms with adaptive heavy tailed random projection ensembles', Journal of Computer Science and Technology, vol. 34, no. 6, pp. 1241-1257. <http://jcst.ict.ac.cn/EN/10.1007/s11390-019-1973-1>
Reeve, H & Kaban, A 2019, 'Robust randomized optimization with k nearest neighbors', Analysis and Applications, vol. 17, no. 5, pp. 819-836. https://doi.org/10.1142/S0219530519400086
Conference contribution
Reeve, HWJ & Kaban, A 2020, Optimistic Bounds for Multi-output Prediction. in 37th International Conference on Machine Learning (ICML 2020). 37th International Conference on Machine Learning (ICML 2020), Virtual Event, 12/07/20.
Reeve, HWJ & Kaban, A 2019, Classification with unknown class-conditional label noise on non-compact feature spaces. in 32nd Annual Conference on Learning Theory (COLT 19). vol. 99, Proceedings of Machine Learning Research, vol. 99, Proceedings of Machine Learning Research, pp. 2624-2651, 32nd Annual Conference on Learning Theory (COLT 19), Phoenix, Arizona, United States, 25/06/19. <http://proceedings.mlr.press/v99/>
Kaban, A 2019, Compressive learning of multi-layer perceptrons: an error analysis. in Proceedings of 2019 International Joint Conference on Neural Networks (IJCNN) ., N-20494, IEEE Computer Society Press, International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, 14/07/19. https://doi.org/10.1109/IJCNN.2019.8851743
Kaban, A 2019, Dimension-free error bounds from random projections. in Thirty Third AAAI Conference on Artificial Intelligence (AAAI-19). Proceedings of the AAAI Conference on Artificial Intelligence, no. 1, vol. 33, AAAI Press, pp. 4049-4056, Thirty Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, United States, 27/01/19. https://doi.org/10.1609/aaai.v33i01.33014049
Reeve, HWJ & Kaban, A 2019, Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators. in 30th International Conference on Algorithmic Learning Theory (ALT'19). Proceedings of Machine Learning Research, vol. 98, Proceedings of Machine Learning Research, pp. 682-699, 30th International Conference on Algorithmic Learning Theory (ALT'19), Chicago, United States, 22/03/19. <http://proceedings.mlr.press/v98/reeve19a.html>
Reeve, HWJ & Kaban, A 2019, Fast rates for a kNN classifier robust to unknown asymmetric label noise. in Proceedings of the Thirty-sixth International Conference on Machine Learning (ICML 2019). vol. 97, The Proceedings of Machine Learning Research , vol. 97, pp. 5401-5409, Thirty-sixth International Conference on Machine Learning (ICML 2019), Long Beach, CA, United States, 9/06/19. <http://proceedings.mlr.press/v97/reeve19a.html>
Turl, A & Kaban, A 2018, Joint blind source separation and declipping: a geometric approach for time disjoint sources. in 2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) (2017). Institute of Electrical and Electronics Engineers (IEEE), pp. 220-225, 17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017, Bilbao, Spain, 18/12/17. https://doi.org/10.1109/ISSPIT.2017.8388645
Kaban, A & Thummanusarn, Y 2018, Tighter guarantees for the compressive multi-layer perceptron. in D Fagan, C Martín-Vide, M O’Neill & M A. Vega-Rodríguez (eds), Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018 Dublin, Ireland, December 12–14, 2018 Proceedings. Lecture Notes in Computer Science, Springer, pp. 388-400, 7th International Conference on the Theory and Practice of Natural Computing (TPNC 2018), Dublin, Ireland, 12/12/18. https://doi.org/10.1007/978-3-030-04070-3_30
Kaban, A 2017, On Compressive Ensemble Induced Regularisation: How Close is the Finite Ensemble Precision Matrix to the Infinite Ensemble? in Proceedings of 28th International Conference on Algorithmic Learning Theory (ALT 2017). Proceedings of Machine Learning Research, vol. 76, JMLR , 28th International Conference on Algorithmic Learning Theory (ALT 2017), Kyoto, Japan, 15/10/17.
Kaban, A 2016, A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections. in ACML 2015 Proceedings. vol. 45, Proceedings of Machine Learning Research, vol. 45, JMLR , pp. 65-80, 7th Asian Conference on Machine Learning, Hong Kong, China, 20/11/15. <http://proceedings.mlr.press/v45/Kaban15b.pdf>
Schleif, FM, Kaban, A & Tino, P 2016, Finding small sets of random fourier features for shift-invariant kernel approximation. in Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Proceedings. vol. 9896 LNAI, Lecture Notes in Computer Science, vol. 9896 LNAI, Springer Verlag, pp. 42-54, 7th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, Ulm, Germany, 28/09/16. https://doi.org/10.1007/978-3-319-46182-3_4
View all publications in research portal