3 papers
cs.LG2026
Geometry-Aware Bayesian Quantification via Compositional Data Analysis
Alejandro Moreo, Pablo González, Juan José del Coz
Accurately estimating the unknown target label distribution is the critical first step for adapting to label shift. This task, widely known as quantification or class prevalence es…
cs.LG2025
Quantification via Gaussian Latent Space Representations
Olaya Pérez-Mon, Juan José del Coz, Pablo González
Quantification, or prevalence estimation, is the task of predicting the prevalence of each class within an unknown bag of examples. Most existing quantification methods in the lite…
cs.LG2024
Quantification using Permutation-Invariant Networks based on Histograms
Olaya Pérez-Mon, Alejandro Moreo, Juan José del Coz +1
Quantification, also known as class prevalence estimation, is the supervised learning task in which a model is trained to predict the prevalence of each class in a given bag of exa…