Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Uncertainty is the only certainty there is. Modeling data uncertainty is essential for regression, especially in unconstrained settings. Traditionally the direct regression formulation is considered and the uncertainty is modeled by modifying the output space to a certain family of probabilistic distributions. On the other hand, classification based regression and …