Alexandru Lopotenco

Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract)

Unsupervised learning methods such as principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), and autoencoding are regularly used in dimensionality reduction within the statistical learning scene. However, despite a pivot toward fairness and explainability in machine…