Recent publications
Article
Kaban, A & Reeve, H 2024, 'Structure discovery in PAC-Learning by Random Projections', Machine Learning. https://doi.org/10.1007/s10994-024-06531-0
Huang, Z, Lei, Y & Kaban, A 2023, 'Optimisation and Learning with Randomly Compressed Gradient Updates', Neural Computation. https://doi.org/10.1162/neco_a_01588
Turner, A & Kaban, A 2023, 'PAC learning with approximate predictors', Machine Learning. https://doi.org/10.1007/s10994-023-06301-4
Palias, E & Kabán, A 2023, 'The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification', Statistics and Computing, vol. 33, no. 4, 87. https://doi.org/10.1007/s11222-023-10251-1
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
Conference contribution
Palias, E & Kaban, A 2024, Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension. in 2024 International Joint Conference on Neural Networks (IJCNN). Proceedings of International Joint Conference on Neural Networks, IEEE, 2024 IEEE World Congress on Computational Intelligence, Yokohama, Japan, 30/06/24.
Huang, Z, Lei, Y & Kaban, A 2023, Noise-efficient learning of differentially private partitioning machine ensembles. in M-R Amin, S Canu, A Fischer, T Guns, PK Novak & G Tsoumakas (eds), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part IV. 1 edn, Lecture Notes in Computer Science, vol. 13716, Springer, Cham, pp. 587–603, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Genoble, France, 19/09/22. https://doi.org/10.1007/978-3-031-26412-2_36
Zhou, S, Lei, Y & Kaban, A 2023, Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms. in Advances in Neural Information Processing Systems: NeurIPS 2023. Advances in Neural Information Processing Systems, Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, United States, 10/12/23.
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>
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