Search Results for author:
Found 7 papers, 2 papers with code
Nonparametric plug-in classifier for multiclass classification of S.D.E. paths
We study the multiclass classification problem where the features come from the mixture of time-homogeneous diffusions.
Set-valued classification -- overview via a unified framework
Multi-class classification problem is among the most popular and well-studied statistical frameworks.
Fair regression via plug-in estimator and recalibration with statistical guarantees
We study the problem of learning an optimal regression function subject to a fairness constraint.
Regression with reject option and application to kNN
We provide a semi-supervised estimation procedure of the optimal rule involving two datasets: a first labeled dataset is used to estimate both regression function and conditional variance function while a second unlabeled dataset is exploited to calibrate the desired rejection rate.
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
We study the problem of fair binary classification using the notion of Equal Opportunity.
On the benefits of output sparsity for multi-label classification
The modern multi-label problems are typically large-scale in terms of number of observations, features and labels, and the amount of labels can even be comparable with the amount of observations.
