Ata Kabán

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 32

Top Venues

Publications

Ata Kabán, Henry W. J. Reeve
Structure discovery in PAC-learning by random projections. Mach. Learn. 113 (8) (2024)
Henry W. J. Reeve, Ata Kabán, Jakramate Bootkrajang
Heterogeneous sets in dimensionality reduction and ensemble learning. Mach. Learn. 113 (4) (2024)
Sijia Zhou, Yunwen Lei, Ata Kabán
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms. NeurIPS (2023)
Andrew James Turner, Ata Kabán
PAC-learning with approximate predictors. Mach. Learn. 112 (5) (2023)
Efstratios Palias, Ata Kabán
The Effect of Intrinsic Dimension on Metric Learning under Compression. CoRR (2023)
Zhanliang Huang, Yunwen Lei, Ata Kabán
Optimization and Learning With Randomly Compressed Gradient Updates. Neural Comput. 35 (7) (2023)
Efstratios Palias, Ata Kabán
The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification. Stat. Comput. 33 (4) (2023)
Zhanliang Huang, Yunwen Lei, Ata Kabán
Noise-Efficient Learning of Differentially Private Partitioning Machine Ensembles. ECML/PKDD (4) (2022)
Andrew James Turner, Ata Kabán
Approximability and Generalisation. CoRR (2022)
Henry W. J. Reeve, Ata Kabán
Statistical optimality conditions for compressive ensembles. CoRR (2021)
Yamonporn Thummanusarn, Ata Kabán
Random Projection Through the Lens of Data Complexity Indicators. ICDM (Workshops) (2021)
Henry W. J. Reeve, Ata Kabán
Optimistic Bounds for Multi-output Learning. ICML (2020)
Ata Kabán, Robert J. Durrant
Structure from Randomness in Halfspace Learning with the Zero-One Loss. J. Artif. Intell. Res. 69 (2020)
Henry W. J. Reeve, Ata Kabán
Optimistic bounds for multi-output prediction. CoRR (2020)
Momodou L. Sanyang, Ata Kabán
Large-Scale Estimation of Distribution Algorithms with Adaptive Heavy Tailed Random Projection Ensembles. J. Comput. Sci. Technol. 34 (6) (2019)
Henry W. J. Reeve, Ata Kabán
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise. ICML (2019)
Henry W. J. Reeve, Ata Kabán
Classification with unknown class conditional label noise on non-compact feature spaces. CoRR (2019)
Ata Kabán
Dimension-Free Error Bounds from Random Projections. AAAI (2019)
Ata Kabán
Compressive Learning of Multi-layer Perceptrons: An Error Analysis. IJCNN (2019)
Henry W. J. Reeve, Ata Kabán
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise. CoRR (2019)
Henry W. J. Reeve, Ata Kabán
Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators. ALT (2019)
Henry W. J. Reeve, Ata Kabán
Classification with unknown class-conditional label noise on non-compact feature spaces. COLT (2019)
Xi Zhang, Ata Kabán
Experiments with Random Projections Ensembles: Linear Versus Quadratic Discriminants. ICDM Workshops (2019)
Ata Kabán, Yamonporn Thummanusarn
Tighter Guarantees for the Compressive Multi-layer Perceptron. TPNC (2018)
Kai Ming Ting, Takashi Washio, Ata Kabán
Data Dependent Dissimilarity Measures (NII Shonan Meeting 2018-13). NII Shonan Meet. Rep. 2018 (2018)
Alastair Turl, Ata Kabán
Joint blind source separation and declipping: A geometric approach for time disjoint sources. ISSPIT (2017)
Ata Kabán
On Compressive Ensemble Induced Regularisation: How Close is the Finite Ensemble Precision Matrix to the Infinite Ensemble? ALT (2017)
Momodou L. Sanyang, Robert J. Durrant, Ata Kabán
How effective is Cauchy-EDA in high dimensions? CEC (2016)
Momodou L. Sanyang, Ata Kabán
REMEDA: Random Embedding EDA for Optimising Functions with Intrinsic Dimension. PPSN (2016)
Ata Kabán, Jakramate Bootkrajang, Robert J. Durrant
Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective. Evol. Comput. 24 (2) (2016)
Qi Xu, Momodou L. Sanyang, Ata Kabán
Large scale continuous EDA using mutual information. CEC (2016)
Frank-Michael Schleif, Ata Kabán, Peter Tiño
Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation. ANNPR (2016)
Momodou L. Sanyang, Ata Kabán
Heavy tails with parameter adaptation in random projection based continuous EDA. CEC (2015)
Benoît Frénay, Ata Kabán
Special issue on advances in learning with label noise. Neurocomputing 160 (2015)
Ata Kabán
Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension. ACML (2015)
Robert J. Durrant, Ata Kabán
Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions. Mach. Learn. 99 (2) (2015)
Ata Kabán
Improved Bounds on the Dot Product under Random Projection and Random Sign Projection. KDD (2015)
Ata Kabán
A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections. ACML (2015)
Ata Kabán
New Bounds on Compressive Linear Least Squares Regression. AISTATS (2014)
Benoît Frénay, Ata Kabán
A comprehensive introduction to label noise. ESANN (2014)
Heyam AlBaity, Souham Meshoul, Ata Kabán, Lilac A. E. Al-Safadi
Quantum behaved particle swarm optimization for data clustering with multiple objectives. SoCPaR (2014)
Momodou L. Sanyang, Ata Kabán
Multivariate Cauchy EDA Optimisation. IDEAL (2014)
Jakramate Bootkrajang, Ata Kabán
Learning kernel logistic regression in the presence of class label noise. Pattern Recognit. 47 (11) (2014)
Momodou L. Sanyang, Hanno Muehlbrandt, Ata Kabán
Two approaches of using heavy tails in high dimensional EDA. ICDM Workshops (2014)
Jakramate Bootkrajang, Ata Kabán
Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments. IDEAL (2013)
Ata Kabán, Robert J. Durrant
Dimension-Adaptive Bounds on Compressive FLD Classification. ALT (2013)
Ata Kabán, Jakramate Bootkrajang, Robert John Durrant
Towards large scale continuous EDA: a random matrix theory perspective. GECCO (2013)
Ata Kabán
A New Look at Compressed Ordinary Least Squares. ICDM Workshops (2013)
Robert J. Durrant, Ata Kabán
Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions. ACML (2013)
Zhenghui Ma, Ata Kabán
K-Nearest-Neighbours with a novel similarity measure for intrusion detection. UKCI (2013)
Jakramate Bootkrajang, Ata Kabán
Boosting in the presence of label noise. CoRR (2013)
Sachin Mylavarapu, Ata Kabán
Random projections versus random selection of features for classification of high dimensional data. UKCI (2013)
Jakramate Bootkrajang, Ata Kabán
Classification of mislabelled microarrays using robust sparse logistic regression. Bioinform. 29 (7) (2013)
Ata Kabán
Fractional Norm Regularization: Learning With Very Few Relevant Features. IEEE Trans. Neural Networks Learn. Syst. 24 (6) (2013)
Jakramate Bootkrajang, Ata Kabán
Boosting in the presence of label noise. UAI (2013)
Robert J. Durrant, Ata Kabán
Sharp Generalization Error Bounds for Randomly-projected Classifiers. ICML (3) (2013)
Sakinah Ali Pitchay, Ata Kabán
Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement. IDEAL (2013)
Ata Kabán, Sakinah Ali Pitchay
Single-frame image recovery using a Pearson type VII MRF. Neurocomputing 80 (2012)
Robert John Durrant, Ata Kabán
A tight bound on the performance of Fisher's linear discriminant in randomly projected data spaces. Pattern Recognit. Lett. 33 (7) (2012)
Sakinah Ali Pitchay, Ata Kabán
Single-frame Signal Recovery using a Similarity-prior based on Pearson Type VII MRF. ICPRAM (1) (2012)
Robert J. Durrant, Ata Kabán
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space. AISTATS (2012)
Heyam AlBaity, Souham Meshoul, Ata Kabán
On extending quantum behaved particle swarm optimization to multiobjective context. IEEE Congress on Evolutionary Computation (2012)
Jakramate Bootkrajang, Ata Kabán
Label-Noise Robust Logistic Regression and Its Applications. ECML/PKDD (1) (2012)
Sakinah Ali Pitchay, Ata Kabán
Multi-task signal recovery by higher level hyper-parameter sharing. ICPR (2012)
Ata Kabán
Non-parametric detection of meaningless distances in high dimensional data. Stat. Comput. 22 (2) (2012)
Heyam AlBaity, Souham Meshoul, Ata Kabán
Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm. ICONIP (3) (2012)
Ata Kabán
On the distance concentration awareness of certain data reduction techniques. Pattern Recognit. 44 (2) (2011)
Jakramate Bootkrajang, Ata Kabán
Multi-class classification in the presence of labelling errors. ESANN (2011)
Robert J. Durrant, Ata Kabán
Compressed fisher linear discriminant analysis: classification of randomly projected data. KDD (2010)
Jianyong Sun, Ata Kabán
A fast algorithm for robust mixtures in the presence of measurement errors. IEEE Trans. Neural Networks 21 (8) (2010)
Jianyong Sun, Ata Kabán, Jonathan M. Garibaldi
Robust mixture modeling using the Pearson type VII distribution. IJCNN (2010)
Jianyong Sun, Ata Kabán, Jonathan M. Garibaldi
Robust mixture clustering using Pearson type VII distribution. Pattern Recognit. Lett. 31 (16) (2010)
Robert J. Durrant, Ata Kabán
A Bound on the Performance of LDA in Randomly Projected Data Spaces. ICPR (2010)
Robert J. Durrant, Ata Kabán
When is 'nearest neighbour' meaningful: A converse theorem and implications. J. Complex. 25 (4) (2009)
Ella Bingham, Ata Kabán, Mikael Fortelius
The aspect Bernoulli model: multiple causes of presences and absences. Pattern Anal. Appl. 12 (1) (2009)
Ata Kabán
A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation. Discovery Science (2008)
Xin Wang, Ata Kabán
A dynamic bibliometric model for identifying online communities. Data Min. Knowl. Discov. 16 (1) (2008)
Ata Kabán, Robert J. Durrant
-Norm Regularisation with Exponentially Many Irrelevant Features. ECML/PKDD (1) (2008)
Ata Kabán, Ella Bingham
Factorisation and denoising of 0-1 data: A variational approach. Neurocomputing 71 (10-12) (2008)
Jianyong Sun, Ata Kabán, Somak Raychaudhury
Robust Visual Mining of Data with Error Information. PKDD (2007)
Jianyong Sun, Ata Kabán, Somak Raychaudhury
Robust mixtures in the presence of measurement errors. ICML (2007)
Ata Kabán
Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories. Mach. Learn. 68 (1) (2007)
Markus Harva, Ata Kabán
Variational learning for rectified factor analysis. Signal Process. 87 (3) (2007)
Ata Kabán
On Bayesian classification with Laplace priors. Pattern Recognit. Lett. 28 (10) (2007)
Xin Wang, Ata Kabán
Model-Based Estimation of Word Saliency in Text. Discovery Science (2006)
Ata Kabán, Xin Wang
Deconvolutive Clustering of Markov States. ECML (2006)
Ata Kabán, Ella Bingham
ICA-Based Binary Feature Construction. ICA (2006)
Xin Wang, Ata Kabán
State Aggregation in Higher Order Markov Chains for Finding Online Communities. IDEAL (2006)
Ata Kabán, Jianyong Sun, Somak Raychaudhury, Louisa Nolan
On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets. Discovery Science (2006)
Xin Wang, Ata Kabán
Finding Uninformative Features in Binary Data. IDEAL (2005)
Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán
Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. IEEE Trans. Knowl. Data Eng. 17 (3) (2005)
Ata Kabán
A Scalable Generative Topographic Mapping for Sparse Data Sequences. ITCC (1) (2005)
Mark A. Girolami, Ata Kabán
Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains. Data Min. Knowl. Discov. 10 (3) (2005)
Ata Kabán, Louisa Nolan, Somak Raychaudhury
Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical Spectra. SDM (2005)
Ata Kabán, Ella Bingham, T. Hirsimäki
Learning to Read Between the Lines: The Aspect Bernoulli Model. SDM (2004)
Peter Tiño, Ata Kabán, Yi Sun
A generative probabilistic approach to visualizing sets of symbolic sequences. KDD (2004)
Ella Bingham, Ata Kabán, Mark A. Girolami
Topic Identification in Dynamical Text by Complexity Pursuit. Neural Process. Lett. 17 (1) (2003)
Mark A. Girolami, Ata Kabán
Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles. NIPS (2003)
Mark A. Girolami, Ata Kabán
On an equivalence between PLSI and LDA. SIGIR (2003)
Alexander N. Dolia, Martin Lages, Ata Kabán
An Adaptive Novelty Detection Approach to Low Level Analysis of Images Corrupted by Mixed Noise. KES (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ata Kabán