37 citations · 80 across the 10 of their papers we have counts for
10 papers
Statistical optimality conditions for compressive ensembles
Henry W. J. Reeve, Ata Kaban
We present a framework for the theoretical analysis of ensembles of low-complexity empirical risk minimisers trained on independent random compressions of high-dimensional data. Fi…
Optimistic bounds for multi-output prediction
Henry WJ Reeve, Ata Kaban
We investigate the challenge of multi-output learning, where the goal is to learn a vector-valued function based on a supervised data set. This includes a range of important proble…
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise
Henry W. J. Reeve, Ata Kaban
We consider classification in the presence of class-dependent asymmetric label noise with unknown noise probabilities. In this setting, identifiability conditions are known, but ad…
Classification with unknown class-conditional label noise on non-compact feature spaces
Henry W J Reeve, Ata Kaban
We investigate the problem of classification in the presence of unknown class-conditional label noise in which the labels observed by the learner have been corrupted with some unkn…
Structure-aware error bounds for linear classification with the zero-one loss
Ata Kaban, Robert J. Durrant
We prove risk bounds for binary classification in high-dimensional settings when the sample size is allowed to be smaller than the dimensionality of the training set observations.…
Boosting in the presence of label noise
Jakramate Bootkrajang, Ata Kaban
Boosting is known to be sensitive to label noise. We studied two approaches to improve AdaBoost's robustness against labelling errors. One is to employ a label-noise robust classif…