| 2026 | ESANN | Self-Certified Deep Metric Learning with N-Tuple Losses. | Oritsemisan Meggison, Sijia Zhou, Ata Kabn |
| 2025 | UAI | Learning to Sample in Stochastic Optimization. | Sijia Zhou, Yunwen Lei, Ata Kabn |
| 2024 | ICDM | Data Complexity via Random Projection. | Yamonporn Thummanusarn, Ata Kabn |
| 2024 | IJCNN | Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension. | Efstratios Palias, Ata Kabn |
| 2020 | ICML | Optimistic Bounds for Multi-output Learning. | Henry W. J. Reeve, Ata Kabn |
| 2019 | AAAI | Dimension-Free Error Bounds from Random Projections. | Ata Kabn |
| 2019 | ALT | Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators. | Henry W. J. Reeve, Ata Kabn |
| 2019 | COLT | Classification with unknown class-conditional label noise on non-compact feature spaces. | Henry W. J. Reeve, Ata Kabn |
| 2019 | ICDM | Experiments with Random Projections Ensembles: Linear Versus Quadratic Discriminants. | Xi Zhang, Ata Kabn |
| 2019 | ICML | Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise. | Henry W. J. Reeve, Ata Kabn |
| 2019 | IJCNN | Compressive Learning of Multi-layer Perceptrons: An Error Analysis. | Ata Kabn |
| 2017 | ALT | On Compressive Ensemble Induced Regularisation: How Close is the Finite Ensemble Precision Matrix to the Infinite Ensemble? | Ata Kabn |
| 2016 | CEC | How effective is Cauchy-EDA in high dimensions? | Momodou L. Sanyang, Robert J. Durrant, Ata Kabn |
| 2016 | CEC | Large scale continuous EDA using mutual information. | Qi Xu, Momodou L. Sanyang, Ata Kabn |
| 2016 | PPSN | REMEDA: Random Embedding EDA for Optimising Functions with Intrinsic Dimension. | Momodou L. Sanyang, Ata Kabn |
| 2015 | ACML | Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension. | Ata Kabn |
| 2015 | ACML | A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections. | Ata Kabn |
| 2015 | CEC | Heavy tails with parameter adaptation in random projection based continuous EDA. | Momodou L. Sanyang, Ata Kabn |
| 2015 | KDD | Improved Bounds on the Dot Product under Random Projection and Random Sign Projection. | Ata Kabn |
| 2014 | AISTATS | New Bounds on Compressive Linear Least Squares Regression. | Ata Kabn |
| 2014 | ESANN | A comprehensive introduction to label noise. | Benot Frnay, Ata Kabn |
| 2014 | ICDM | Two approaches of using heavy tails in high dimensional EDA. | Momodou L. Sanyang, Hanno Muehlbrandt, Ata Kabn |
| 2014 | IDEAL | Multivariate Cauchy EDA Optimisation. | Momodou L. Sanyang, Ata Kabn |
| 2013 | ACML | Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions. | Robert J. Durrant, Ata Kabn |
| 2013 | ALT | Dimension-Adaptive Bounds on Compressive FLD Classification. | Ata Kabn, Robert J. Durrant |
| 2013 | GECCO | Towards large scale continuous EDA: a random matrix theory perspective. | Ata Kabn, Jakramate Bootkrajang, Robert John Durrant |
| 2013 | ICDM | A New Look at Compressed Ordinary Least Squares. | Ata Kabn |
| 2013 | ICML | Sharp Generalization Error Bounds for Randomly-projected Classifiers. | Robert J. Durrant, Ata Kabn |
| 2013 | IDEAL | Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments. | Jakramate Bootkrajang, Ata Kabn |
| 2013 | IDEAL | Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement. | Sakinah Ali Pitchay, Ata Kabn |
| 2013 | UAI | Boosting in the presence of label noise. | Jakramate Bootkrajang, Ata Kabn |
| 2012 | CEC | On extending quantum behaved particle swarm optimization to multiobjective context. | Heyam H. Al-Baity, Souham Meshoul, Ata Kabn |
| 2012 | ICONIP | Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm. | Heyam H. Al-Baity, Souham Meshoul, Ata Kabn |
| 2012 | ICPR | Multi-task signal recovery by higher level hyper-parameter sharing. | Sakinah Ali Pitchay, Ata Kabn |
| 2012 | ICPRAM | Single-frame Signal Recovery using a Similarity-prior based on Pearson Type VII MRF. | Sakinah Ali Pitchay, Ata Kabn |
| 2011 | ESANN | Multi-class classification in the presence of labelling errors. | Jakramate Bootkrajang, Ata Kabn |
| 2010 | ICPR | A Bound on the Performance of LDA in Randomly Projected Data Spaces. | Robert J. Durrant, Ata Kabn |
| 2010 | IJCNN | Robust mixture modeling using the Pearson type VII distribution. | Jianyong Sun, Ata Kabn, Jonathan M. Garibaldi |
| 2010 | KDD | Compressed fisher linear discriminant analysis: classification of randomly projected data. | Robert J. Durrant, Ata Kabn |
| 2008 | DIS | A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation. | Ata Kabn |
| 2007 | ICML | Robust mixtures in the presence of measurement errors. | Jianyong Sun, Ata Kabn, Somak Raychaudhury |
| 2006 | DIS | On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets. | Ata Kabn, Jianyong Sun, Somak Raychaudhury, Louisa Nolan |
| 2006 | DIS | Model-Based Estimation of Word Saliency in Text. | Xin Wang, Ata Kabn |
| 2006 | IDEAL | State Aggregation in Higher Order Markov Chains for Finding Online Communities. | Xin Wang, Ata Kabn |
| 2005 | IJCNN | A variational Bayesian method for rectified factor analysis. | Markus Harva, Ata Kabn |
| 2005 | IDEAL | Finding Uninformative Features in Binary Data. | Xin Wang, Ata Kabn |
| 2005 | SDM | Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical Spectra. | Ata Kabn, Louisa Nolan, Somak Raychaudhury |
| 2004 | IJCNN | Context based identification of user communities from Internet chat. | Ata Kabn, Xin Wang |
| 2004 | KDD | A generative probabilistic approach to visualizing sets of symbolic sequences. | Peter Tio, Ata Kabn, Yi Sun |
| 2004 | SDM | Learning to Read Between the Lines: The Aspect Bernoulli Model. | Ata Kabn, Ella Bingham, T. Hirsimki |
| 2003 | KES | An Adaptive Novelty Detection Approach to Low Level Analysis of Images Corrupted by Mixed Noise. | Alexander N. Dolia, Martin Lages, Ata Kabn |
| 2003 | SIGIR | On an equivalence between PLSI and LDA. | Mark A. Girolami, Ata Kabn |
| 2002 | IDEAL | A General Framework for a Principled Hierarchical Visualization of Multivariate Data. | Ata Kabn, Peter Tio, Mark A. Girolami |
| 2001 | WWW | Finding Topics in Dynamical Text: Application to Chat Line Discussions. | Ella Bingham, Ata Kabn, Mark A. Girolami |
| 2000 | ICPR | Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents. | Ata Kabn, Mark A. Girolami |