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12/20/2022
Nonparametric plug-in classifier for multiclass classification of S.D.E. paths
We study the multiclass classification problem where the features come f...
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09/08/2022
Prediction intervals with controlled length in the heteroscedastic Gaussian regression
We tackle the problem of building a prediction interval in heteroscedast...
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08/31/2022
Active learning algorithm through the lens of rejection arguments
Active learning is a paradigm of machine learning which aims at reducing...
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09/28/2021
Fairness guarantee in multi-class classification
Algorithmic Fairness is an established area of machine learning, willing...
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02/24/2021
Set-valued classification – overview via a unified framework
Multi-class classification problem is among the most popular and well-st...
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06/30/2020
Regression with reject option and application to kNN
We investigate the problem of regression where one is allowed to abstain...
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06/12/2020
Fair Regression with Wasserstein Barycenters
We study the problem of learning a real-valued function that satisfies t...
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06/12/2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
We study the problem of fair binary classification using the notion of E...
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04/29/2019
Minimax semi-supervised confidence sets for multi-class classification
In this work we study the semi-supervised framework of confidence set cl...
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03/14/2017