3 papers
stat.ME2026
Copula-based models for spatially dependent cylindrical data
Francesca Labanca, Anna Gottard, Nadja Klein
Cylindrical data frequently arise across various scientific disciplines, including meteorology (e.g., wind direction and speed), oceanography (e.g., marine current direction and sp…
stat.ME2026
Bayesian Additive Regression Tree Copula Processes for Scalable Distributional Prediction
Jan Martin Wenkel, Michael Stanley Smith, Nadja Klein
We show how to construct the implied copula process of response values from a Bayesian additive regression tree (BART) model with prior on the leaf node variances. This copula proc…
cs.LG2025
Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label Disambiguation
Tobias Fuchs, Nadja Klein
Real-world data is frequently noisy and ambiguous. In crowdsourcing, for example, human annotators may assign conflicting class labels to the same instances. Partial-label learning…