Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees Nicolas Beltran-V elez

Probabilistic prediction aims to compute predictive distributions rather than single point predictions. These distributions enable practitioners to quantify uncertainty, compute risk, and detect outliers. However, most probabilistic methods assume parametric responses, such as Gaussian or Poisson distributions.