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09/11/2023
The Effect of Intrinsic Dimension on Metric Learning under Compression
Metric learning aims at finding a suitable distance metric over the inpu...
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03/15/2022
Approximability and Generalisation
Approximate learning machines have become popular in the era of small de...
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06/02/2021
Statistical optimality conditions for compressive ensembles
We present a framework for the theoretical analysis of ensembles of low-...
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02/22/2020
Optimistic bounds for multi-output prediction
We investigate the challenge of multi-output learning, where the goal is...
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06/11/2019
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise
We consider classification in the presence of class-dependent asymmetric...
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02/14/2019
Classification with unknown class conditional label noise on non-compact feature spaces
We investigate the problem of classification in the presence of unknown ...
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09/26/2013