Ata Kabán

According to our database, Ata Kabán authored at least 104 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Heterogeneous sets in dimensionality reduction and ensemble learning.

Henry W. J. Reeve, Ata Kabán, Jakramate Bootkrajang

Mach. Learn., April, 2024

2023

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

Efstratios Palias, Ata Kabán

Stat. Comput., August, 2023

Optimization and Learning With Randomly Compressed Gradient Updates.

Zhanliang Huang, Yunwen Lei, Ata Kabán

Neural Comput., July, 2023

PAC-learning with approximate predictors.

Andrew James Turner, Ata Kabán

Mach. Learn., May, 2023

The Effect of Intrinsic Dimension on Metric Learning under Compression.

Efstratios Palias, Ata Kabán

CoRR, 2023

Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms.

Sijia Zhou, Yunwen Lei, Ata Kabán

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Approximability and Generalisation.

Andrew James Turner, Ata Kabán

CoRR, 2022

Noise-Efficient Learning of Differentially Private Partitioning Machine Ensembles.

Zhanliang Huang, Yunwen Lei, Ata Kabán

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Statistical optimality conditions for compressive ensembles.

Henry W. J. Reeve, Ata Kabán

CoRR, 2021

Random Projection Through the Lens of Data Complexity Indicators.

Yamonporn Thummanusarn, Ata Kabán

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

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

Ata Kabán, Robert J. Durrant

J. Artif. Intell. Res., 2020

Optimistic bounds for multi-output prediction.

Henry W. J. Reeve, Ata Kabán

CoRR, 2020

Optimistic Bounds for Multi-output Learning.

Henry W. J. Reeve, Ata Kabán

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Large-Scale Estimation of Distribution Algorithms with Adaptive Heavy Tailed Random Projection Ensembles.

Momodou L. Sanyang, Ata Kabán

J. Comput. Sci. Technol., 2019

Compressive Learning of Multi-layer Perceptrons: An Error Analysis.

Ata Kabán

Proceedings of the International Joint Conference on Neural Networks, 2019

Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise.

Henry W. J. Reeve, Ata Kabán

Proceedings of the 36th International Conference on Machine Learning, 2019

Experiments with Random Projections Ensembles: Linear Versus Quadratic Discriminants.

Xi Zhang, Ata Kabán

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

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

Henry W. J. Reeve, Ata Kabán

Proceedings of the Conference on Learning Theory, 2019

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

Henry W. J. Reeve, Ata Kabán

Proceedings of the Algorithmic Learning Theory, 2019

Dimension-Free Error Bounds from Random Projections.

Ata Kabán

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Data Dependent Dissimilarity Measures (NII Shonan Meeting 2018-13).

Kai Ming Ting, Takashi Washio, Ata Kabán

NII Shonan Meet. Rep., 2018

Tighter Guarantees for the Compressive Multi-layer Perceptron.

Ata Kabán, Yamonporn Thummanusarn

Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018

2017

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

Alastair Turl, Ata Kabán

Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017

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

Ata Kabán

Proceedings of the International Conference on Algorithmic Learning Theory, 2017

2016

Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective.

Ata Kabán, Jakramate Bootkrajang, Robert J. Durrant

Evol. Comput., 2016

REMEDA: Random Embedding EDA for Optimising Functions with Intrinsic Dimension.

Momodou L. Sanyang, Ata Kabán

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Large scale continuous EDA using mutual information.

Qi Xu, Momodou L. Sanyang, Ata Kabán

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

How effective is Cauchy-EDA in high dimensions?

Momodou L. Sanyang, Robert J. Durrant, Ata Kabán

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation.

Frank-Michael Schleif, Ata Kabán, Peter Tiño

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015

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

Robert J. Durrant, Ata Kabán

Mach. Learn., 2015

Special issue on advances in learning with label noise.

Benoît Frénay, Ata Kabán

Neurocomputing, 2015

Improved Bounds on the Dot Product under Random Projection and Random Sign Projection.

Ata Kabán

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Heavy tails with parameter adaptation in random projection based continuous EDA.

Momodou L. Sanyang, Ata Kabán

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

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

Ata Kabán

Proceedings of The 7th Asian Conference on Machine Learning, 2015

Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension.

Ata Kabán

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014

Learning kernel logistic regression in the presence of class label noise.

Jakramate Bootkrajang, Ata Kabán

Pattern Recognit., 2014

Quantum behaved particle swarm optimization for data clustering with multiple objectives.

Heyam H. Al-Baity, Souham Meshoul, Ata Kabán, Lilac A. E. Al-Safadi

Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

Multivariate Cauchy EDA Optimisation.

Momodou L. Sanyang, Ata Kabán

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Two approaches of using heavy tails in high dimensional EDA.

Momodou L. Sanyang, Hanno Muehlbrandt, Ata Kabán

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

A comprehensive introduction to label noise.

Benoît Frénay, Ata Kabán

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

New Bounds on Compressive Linear Least Squares Regression.

Ata Kabán

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Fractional Norm Regularization: Learning With Very Few Relevant Features.

Ata Kabán

IEEE Trans. Neural Networks Learn. Syst., 2013

Classification of mislabelled microarrays using robust sparse logistic regression.

Jakramate Bootkrajang, Ata Kabán

Bioinform., 2013

Random projections versus random selection of features for classification of high dimensional data.

Sachin Mylavarapu, Ata Kabán

Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

K-Nearest-Neighbours with a novel similarity measure for intrusion detection.

Zhenghui Ma, Ata Kabán

Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Boosting in the presence of label noise.

Jakramate Bootkrajang, Ata Kabán

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement.

Sakinah Ali Pitchay, Ata Kabán

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments.

Jakramate Bootkrajang, Ata Kabán

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Sharp Generalization Error Bounds for Randomly-projected Classifiers.

Robert J. Durrant, Ata Kabán

Proceedings of the 30th International Conference on Machine Learning, 2013

A New Look at Compressed Ordinary Least Squares.

Ata Kabán

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Towards large scale continuous EDA: a random matrix theory perspective.

Ata Kabán, Jakramate Bootkrajang, Robert John Durrant

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Dimension-Adaptive Bounds on Compressive FLD Classification.

Ata Kabán, Robert J. Durrant

Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions.

Robert J. Durrant, Ata Kabán

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Non-parametric detection of meaningless distances in high dimensional data.

Ata Kabán

Stat. Comput., 2012

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

Robert John Durrant, Ata Kabán

Pattern Recognit. Lett., 2012

Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space.

Robert J. Durrant, Ata Kabán

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Single-frame image recovery using a Pearson type VII MRF.

Ata Kabán, Sakinah Ali Pitchay

Neurocomputing, 2012

Label-Noise Robust Logistic Regression and Its Applications.

Jakramate Bootkrajang, Ata Kabán

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Single-frame Signal Recovery using a Similarity-prior based on Pearson Type VII MRF.

Sakinah Ali Pitchay, Ata Kabán

Proceedings of the ICPRAM 2012, 2012

Multi-task signal recovery by higher level hyper-parameter sharing.

Sakinah Ali Pitchay, Ata Kabán

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm.

Heyam H. Al-Baity, Souham Meshoul, Ata Kabán

Proceedings of the Neural Information Processing - 19th International Conference, 2012

On extending quantum behaved particle swarm optimization to multiobjective context.

Heyam H. Al-Baity, Souham Meshoul, Ata Kabán

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

On the distance concentration awareness of certain data reduction techniques.

Ata Kabán

Pattern Recognit., 2011

Multi-class classification in the presence of labelling errors.

Jakramate Bootkrajang, Ata Kabán

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

A fast algorithm for robust mixtures in the presence of measurement errors.

Jianyong Sun, Ata Kabán

IEEE Trans. Neural Networks, 2010

Robust mixture clustering using Pearson type VII distribution.

Jianyong Sun, Ata Kabán, Jonathan M. Garibaldi

Pattern Recognit. Lett., 2010

Compressed fisher linear discriminant analysis: classification of randomly projected data.

Robert J. Durrant, Ata Kabán

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Robust mixture modeling using the Pearson type VII distribution.

Jianyong Sun, Ata Kabán, Jonathan M. Garibaldi

Proceedings of the International Joint Conference on Neural Networks, 2010

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

Robert J. Durrant, Ata Kabán

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

The aspect Bernoulli model: multiple causes of presences and absences.

Ella Bingham, Ata Kabán, Mikael Fortelius

Pattern Anal. Appl., 2009

When is 'nearest neighbour' meaningful: A converse theorem and implications.

Robert J. Durrant, Ata Kabán

J. Complex., 2009

2008

Factorisation and denoising of 0-1 data: A variational approach.

Ata Kabán, Ella Bingham

Neurocomputing, 2008

A dynamic bibliometric model for identifying online communities.

Xin Wang, Ata Kabán

Data Min. Knowl. Discov., 2008

Learning with L_q<1 vs L₁-Norm Regularisation with Exponentially Many Irrelevant Features.

Ata Kabán, Robert J. Durrant

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation.

Ata Kabán

Proceedings of the Discovery Science, 11th International Conference, 2008

2007

Variational learning for rectified factor analysis.

Markus Harva, Ata Kabán

Signal Process., 2007

On Bayesian classification with Laplace priors.

Ata Kabán

Pattern Recognit. Lett., 2007

Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories.

Ata Kabán

Mach. Learn., 2007

Robust Visual Mining of Data with Error Information.

Jianyong Sun, Ata Kabán, Somak Raychaudhury

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Robust mixtures in the presence of measurement errors.

Jianyong Sun, Ata Kabán, Somak Raychaudhury

Proceedings of the Machine Learning, 2007

2006

State Aggregation in Higher Order Markov Chains for Finding Online Communities.

Xin Wang, Ata Kabán

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

ICA-Based Binary Feature Construction.

Ata Kabán, Ella Bingham

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Deconvolutive Clustering of Markov States.

Ata Kabán, Xin Wang

Proceedings of the Machine Learning: ECML 2006, 2006

Model-Based Estimation of Word Saliency in Text.

Xin Wang, Ata Kabán

Proceedings of the Discovery Science, 9th International Conference, 2006

On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets.

Ata Kabán, Jianyong Sun, Somak Raychaudhury, Louisa Nolan

Proceedings of the Discovery Science, 9th International Conference, 2006

2005

Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization.

Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán

IEEE Trans. Knowl. Data Eng., 2005

Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains.

Mark A. Girolami, Ata Kabán

Data Min. Knowl. Discov., 2005

Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical Spectra.

Ata Kabán, Louisa Nolan, Somak Raychaudhury

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

A Scalable Generative Topographic Mapping for Sparse Data Sequences.

Ata Kabán

Proceedings of the International Symposium on Information Technology: Coding and Computing (ITCC 2005), 2005

Finding Uninformative Features in Binary Data.

Xin Wang, Ata Kabán

Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

2004

Learning to Read Between the Lines: The Aspect Bernoulli Model.

Ata Kabán, Ella Bingham, T. Hirsimäki

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

A generative probabilistic approach to visualizing sets of symbolic sequences.

Peter Tiño, Ata Kabán, Yi Sun

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003

Topic Identification in Dynamical Text by Complexity Pursuit.

Ella Bingham, Ata Kabán, Mark A. Girolami

Neural Process. Lett., 2003

On an equivalence between PLSI and LDA.

Mark A. Girolami, Ata Kabán

Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles.

Mark A. Girolami, Ata Kabán

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

An Adaptive Novelty Detection Approach to Low Level Analysis of Images Corrupted by Mixed Noise.

Alexander N. Dolia, Martin Lages, Ata Kabán

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002

Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus.

Ata Kabán, Mark A. Girolami

Neural Process. Lett., 2002

A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams.

Ata Kabán, Mark A. Girolami

J. Intell. Inf. Syst., 2002

A General Framework for a Principled Hierarchical Visualization of Multivariate Data.

Ata Kabán, Peter Tiño, Mark A. Girolami

Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

2001

A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data.

Ata Kabán, Mark A. Girolami

IEEE Trans. Pattern Anal. Mach. Intell., 2001

Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences.

András Lörincz, Botond Szatmáry, Ata Kabán

Neurocomputing, 2001

Finding Topics in Dynamical Text: Application to Chat Line Discussions.

Ella Bingham, Ata Kabán, Mark A. Girolami

Proceedings of the Poster Proceedings of the Tenth International World Wide Web Conference, 2001

2000

Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents.

Ata Kabán, Mark A. Girolami

Proceedings of the 15th International Conference on Pattern Recognition, 2000

The Organization and Visualization of Document Corpora: A Probabilistic Approach.

Mark A. Girolami, Alexei Vinokourov, Ata Kabán

Proceedings of the 11th International Workshop on Database and Expert Systems Applications (DEXA'00), 2000