3 papers
stat.ML2025
Scalable Approximate Algorithms for Optimal Transport Linear Models
Tomasz Kacprzak, Francois Kamper, Michael W. Heiss +3
Recently, linear regression models incorporating an optimal transport (OT) loss have been explored for applications such as supervised unmixing of spectra, music transcription, and…
stat.ML2024
Optimal Projections for Classification with Naive Bayes
David P. Hofmeyr, Francois Kamper, Michail C. Melonas
In the Naive Bayes classification model the class conditional densities are estimated as the products of their marginal densities along the cardinal basis directions. We study the…
stat.ME2020
Optimal Projections for Gaussian Discriminants
David P. Hofmeyr, Francois Kamper, Michail C. Melonas
The problem of obtaining optimal projections for performing discriminant analysis with Gaussian class densities is studied. Unlike in most existing approaches to the problem, the f…