Ata Kaban

2024

A Bhattacharyya-type conditional error bound for quadratic discriminant analysis

Kaban, A. & Palias, E., Dec 2024, In: Methodology and Computing in Applied Probability. 26, 4, 17 p., 38.

Research output: Contribution to journal › Article › peer-review

Open Access

File

27 Downloads (Pure)

Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension

Palias, E. & Kaban, A., 9 Sept 2024, 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 8 p. 10649958. (Proceedings of International Joint Conference on Neural Networks).

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

Open Access

File

153 Downloads (Pure)

Efficient Learning with Projected Histograms

Huang, Z., Kaban, A. & Reeve, H., 1 Sept 2024, (E-pub ahead of print) In: Data Mining and Knowledge Discovery.

Research output: Contribution to journal › Article › peer-review

Open Access

File

27 Downloads (Pure)

Self-certified Tuple-wise Deep Learning

Zhou, S., Lei, Y. & Kaban, A., 22 Aug 2024, Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part II. Bifet, A., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E. & Žliobaitė, I. (eds.). Springer, Vol. 2. 18 p. (Lecture Notes in Computer Science; vol. 14942).

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

Structure discovery in PAC-Learning by Random Projections

Kaban, A. & Reeve, H., 26 Mar 2024, (E-pub ahead of print) In: Machine Learning. 46 p.

Research output: Contribution to journal › Article › peer-review

Open Access

File

89 Downloads (Pure)

2023

Noise-efficient learning of differentially private partitioning machine ensembles

Huang, Z., Lei, Y. & Kaban, A., 17 Mar 2023, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part IV. Amin, M.-R., Canu, S., Fischer, A., Guns, T., Novak, P. K. & Tsoumakas, G. (eds.). 1 ed. Cham: Springer, p. 587–603 17 p. (Lecture Notes in Computer Science; vol. 13716).

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

Open Access

File

61 Downloads (Pure)

Optimisation and Learning with Randomly Compressed Gradient Updates

Huang, Z., Lei, Y. & Kaban, A., 15 May 2023, (E-pub ahead of print) In: Neural Computation. 53 p.

Research output: Contribution to journal › Article › peer-review

Open Access

File

260 Downloads (Pure)

PAC learning with approximate predictors

Turner, A. & Kaban, A., 8 Feb 2023, (E-pub ahead of print) In: Machine Learning. 40 p.

Research output: Contribution to journal › Article › peer-review

Open Access

File

74 Downloads (Pure)

The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification

Palias, E. & Kabán, A., Aug 2023, In: Statistics and Computing. 33, 4, 17 p., 87.

Research output: Contribution to journal › Article › peer-review

Open Access

File

133 Downloads (Pure)

Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms

Zhou, S., Lei, Y. & Kaban, A., 2 Nov 2023, (E-pub ahead of print) Advances in Neural Information Processing Systems: NeurIPS 2023. 23 p. (Advances in Neural Information Processing Systems).

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

Open Access

File

60 Downloads (Pure)

2022

Heterogeneous sets in dimensionality reduction and ensemble learning

Reeve, H., Kaban, A. & Bootkrajang, J., 28 Oct 2022, (E-pub ahead of print) In: Machine Learning. 22 p.

Research output: Contribution to journal › Article › peer-review

Open Access

File

100 Downloads (Pure)

2020

Optimistic Bounds for Multi-output Prediction

Reeve, H. W. J. & Kaban, A., 1 Jun 2020, (Accepted/In press) 37th International Conference on Machine Learning (ICML 2020). 14 p.

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

Structure from Randomness in Halfspace Learning with the Zero-One Loss

Kaban, A. & Durrant, R. J., 15 Sept 2020, (Accepted/In press) In: Journal of Artificial Intelligence Research. 32 p.

Research output: Contribution to journal › Article › peer-review

Open Access

File

224 Downloads (Pure)

Sufficient ensemble size for random matrix theory-based handling of singular covariance matrices

Kaban, A., 17 Jul 2020, In: Analysis and Applications. 18, 5, p. 929-950 22 p.

Research output: Contribution to journal › Article › peer-review

Open Access

File

190 Downloads (Pure)

2019

Classification with unknown class-conditional label noise on non-compact feature spaces

Reeve, H. W. J. & Kaban, A., 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

Open Access

File

132 Downloads (Pure)

Compressive learning of multi-layer perceptrons: an error analysis

Kaban, A., 30 Sept 2019, Proceedings of 2019 International Joint Conference on Neural Networks (IJCNN) . IEEE Computer Society Press, 7 p. N-20494

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

Open Access

File

355 Downloads (Pure)

Dimension-free error bounds from random projections

Kaban, A., 17 Jul 2019, Thirty Third AAAI Conference on Artificial Intelligence (AAAI-19). AAAI Press, p. 4049-4056 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 33, no. 1).

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

Open Access

File

2 Citations (Scopus)

237 Downloads (Pure)

Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators

Reeve, H. W. J. & Kaban, A., 2019, 30th International Conference on Algorithmic Learning Theory (ALT'19). Proceedings of Machine Learning Research, p. 682-699 18 p. (Proceedings of Machine Learning Research; vol. 98).

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

Open Access

File

90 Downloads (Pure)

Fast rates for a kNN classifier robust to unknown asymmetric label noise

Reeve, H. W. J. & Kaban, A., 15 Jun 2019, Proceedings of the Thirty-sixth International Conference on Machine Learning (ICML 2019). Vol. 97. p. 5401-5409 9 p. (The Proceedings of Machine Learning Research ; vol. 97).

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

Open Access

File

129 Downloads (Pure)

Large scale estimation of distribution algorithms with adaptive heavy tailed random projection ensembles

Sanyang, M. & Kaban, A., 16 Nov 2019, In: Journal of Computer Science and Technology. 34, 6, p. 1241-1257 21 p.

Research output: Contribution to journal › Article › peer-review

Open Access

File

1 Citation (Scopus)

222 Downloads (Pure)

Robust randomized optimization with k nearest neighbors

Reeve, H. & Kaban, A., 1 Sept 2019, In: Analysis and Applications. 17, 5, p. 819-836 18 p.

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

2018

Joint blind source separation and declipping: a geometric approach for time disjoint sources

Turl, A. & Kaban, A., 18 Jun 2018, 2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) (2017). Institute of Electrical and Electronics Engineers (IEEE), p. 220-225 6 p.

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

1 Citation (Scopus)

Tighter guarantees for the compressive multi-layer perceptron

Kaban, A. & Thummanusarn, Y., 22 Nov 2018, (E-pub ahead of print) Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018 Dublin, Ireland, December 12–14, 2018 Proceedings. Fagan, D., Martín-Vide, C., O’Neill, M. & A. Vega-Rodríguez, M. (eds.). Springer, p. 388-400 13 p. (Lecture Notes in Computer Science).

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

Open Access

File

1 Citation (Scopus)

297 Downloads (Pure)

2017

On Compressive Ensemble Induced Regularisation: How Close is the Finite Ensemble Precision Matrix to the Infinite Ensemble?

Kaban, A., 24 Jul 2017, (Accepted/In press) Proceedings of 28th International Conference on Algorithmic Learning Theory (ALT 2017). JMLR , 15 p. (Proceedings of Machine Learning Research; vol. 76).

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

2016

A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections

Kaban, A., 25 Feb 2016, ACML 2015 Proceedings. JMLR , Vol. 45. p. 65-80 16 p. (Proceedings of Machine Learning Research; vol. 45).

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

Open Access

File

63 Downloads (Pure)

Finding small sets of random fourier features for shift-invariant kernel approximation

Schleif, F. M., Kaban, A. & Tino, P., 9 Sept 2016, (E-pub ahead of print) Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Proceedings. Springer Verlag, Vol. 9896 LNAI. p. 42-54 13 p. (Lecture Notes in Computer Science; vol. 9896 LNAI).

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

1 Citation (Scopus)

How effective is Cauchy-EDA in high dimensions?

Sanyang, M., Durrant, R. & Kaban, A., 21 Nov 2016, (E-pub ahead of print) 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

Open Access

File

3 Citations (Scopus)

259 Downloads (Pure)

Large scale continuous EDA using mutual information

Xu, Q., Sanyang, M. & Kaban, A., 21 Nov 2016, (E-pub ahead of print) 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

Open Access

File

4 Citations (Scopus)

299 Downloads (Pure)

Non-asymptotic analysis of compressive Fisher discriminants in terms of the effective dimension

Kaban, A., 25 Feb 2016, p. 17-32. 16 p.

Research output: Contribution to conference (unpublished) › Paper › peer-review

File

88 Downloads (Pure)

REMEDA: Random Embedding EDA for optimising functions with intrinsic dimension

Sanyang, M. & Kaban, A., 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

Open Access

File

4 Citations (Scopus)

299 Downloads (Pure)

Toward large-scale continuous EDA: a random matrix theory perspective

Kabán, A., Bootkrajang, J. & Durrant, R. J., 13 Jun 2016, In: Evolutionary Computation. 24, 2, p. 255-291 37 p.

Research output: Contribution to journal › Article › peer-review

35 Citations (Scopus)

2015

Heavy Tails with Parameter Adaptation in Random Projection based Continuous EDA

Sanyang, M. L. & Kaban, A., 25 May 2015, 2015 IEEE Congress on Evolutionary Computation (CEC). Institute of Electrical and Electronics Engineers (IEEE), p. 2074-2081

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

7 Citations (Scopus)

Improved bounds on the dot product under random projection and random sign projection

Kaban, A., 10 Aug 2015, KDD '15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery (ACM), p. 487-496 10 p.

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

12 Citations (Scopus)

Quantum behaved particle swarm optimization for data clustering with multiple objectives

Al-Baity, H., Meshoul, S., Kaban, A. & Al Safadi, L., 12 Jan 2015, 6th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2014. Institute of Electrical and Electronics Engineers (IEEE), p. 215-220 6 p. 7008008

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

2 Citations (Scopus)

Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions

Durrant, R. & Kaban, A., 1 May 2015, In: Machine Learning. 99, 2, p. 257-286 30 p.

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Second International Workshop on High Dimensional Data Mining (HDM 2014) Preface

Kaban, A., Schleif, F. M. & Villmann, T., 26 Jan 2015, 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014, Proceedings. Institute of Electrical and Electronics Engineers (IEEE), p. xxxvi-xxxvii

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

Special issue on advances in learning with label noise

Frénay, B. & Kabán, A., 2015, In: Neurocomputing.

Research output: Contribution to journal › Editorial › peer-review

Open Access

File

1 Citation (Scopus)

323 Downloads (Pure)

2014

Learning kernel logistic regression in the presence of class label noise

Bootkrajang, J. & Kabán, A., 1 Nov 2014, In: Pattern Recognition. 47, 11, p. 3641-3655 15 p.

Research output: Contribution to journal › Article › peer-review

Open Access

File

35 Citations (Scopus)

546 Downloads (Pure)

Multivariate cauchy EDA optimisation

Sanyang, M. L. & Kaban, A., 2014, Intelligent Data Engineering and Automated Learning : IDEAL 2014 15th International Conference, Salamanca, Spain, September 10-12, 2014. Proceedings. Corchado, E., Lozano , J. A., Quintián , H. & Yin, H. (eds.). Springer, Vol. 8669 LNCS. p. 449-456 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8669 LNCS).

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

5 Citations (Scopus)

New Bounds on Compressive Linear Least Squares Regression

Kaban, A., 2 Apr 2014, Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics. Kaski, S. & Corander, J. (eds.). JMLR , Vol. 33. p. 448-456 (JMLR Workshop and Conference Proceedings).

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

Open Access

24 Citations (Scopus)

2013

Classification of mislabelled microarrays using robust sparse logistic regression

Bootkrajang, J. & Kaban, A., 1 Apr 2013, In: Bioinformatics. 29, 7, p. 870-877

Research output: Contribution to journal › Article › peer-review

29 Citations (Scopus)

2012

Non-Parametric Detection of Meaningless Distances in High Dimensional Data

Kaban, A., 1 Mar 2012, In: Statistics and Computing. 22, 2, p. 375-385 11 p.

Research output: Contribution to journal › Article

36 Citations (Scopus)

Single-frame image recovery using a Pearson type VII MRF

Kaban, A. & Ali Pitchay, S., 15 Mar 2012, In: Neurocomputing. 80, p. 111-118 8 p.

Research output: Contribution to journal › Article

9 Citations (Scopus)

2011

A Comparison of the Moments of a Quadratic Form Involving Orthonormalised and Normalised Random Projection Matrices (CSR-11-04)

Durrant, R. & Kaban, A., 1 Jan 2011, Not Known.

Research output: Book/Report › Commissioned report

A tight bound on the performance of Fisher’s linear discriminant in randomly projected data spaces

Durrant, R. & Kaban, A., 9 Sept 2011, In: Pattern Recognition Letters.

Research output: Contribution to journal › Article

5 Citations (Scopus)

Multi-class Classification in the Presence of Labelling Errors

Bootkrajang, J. & Kaban, A., 27 Apr 2011, p. 345-350. 6 p.

Research output: Contribution to conference (unpublished) › Paper

On the Distance Concentration Awareness of Certain Data Reduction Techniques

Kaban, A., 1 Feb 2011, In: Pattern Recognition. 44, 2, p. 265-277 13 p.

Research output: Contribution to journal › Article

9 Citations (Scopus)

Subspace adaptiveness of compressive Fisher's linear discriminant classifier

Kaban, A. & Durrant, R., 1 Dec 2011, p. 73. 1 p.

Research output: Contribution to conference (unpublished) › Abstract

2010

A Bound on the Performance of LDA in Randomly Projected Data Spaces

Durrant, R. & Kaban, A., 26 Aug 2010, 2010 20th International Conference on Pattern Recognition (ICPR). Institute of Electrical and Electronics Engineers (IEEE), p. 4044-4047 4 p.

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

1 Citation (Scopus)

A Fast Algorithm for Robust Mixtures in the Presence of Measurement Errors

Sun, J. & Kaban, A., 1 Aug 2010, In: IEEE Transactions on Neural Networks. 21, 8, p. 1206-1220 15 p.

Research output: Contribution to journal › Article

11 Citations (Scopus)

Ata Kaban

Research output

Search results