Recent publications
Article
Turner, A & Kaban, A 2023, 'PAC learning with approximate predictors', Machine Learning. <http://link.springer.com/journal/10994>
Reeve, H, Kaban, A & Bootkrajang, J 2022, 'Heterogeneous sets in dimensionality reduction and ensemble learning', Machine Learning. https://doi.org/10.1007/s10994-022-06254-0
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
Huang, Z, Lei, Y & Kaban, A 2022, Noise-efficient learning of differentially private partitioning machine ensembles: noise reduction in private forests. in M-R Amin, S Canu, A Fischer, T Guns, PK Novak & G Tsoumakas (eds), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. A Springer Nature Computer Science book series (CCIS, LNAI, LNBI, LNBIP or LNCS, Springer, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Genoble, France, 19/09/22.
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
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