Author

Ken Rölli

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#machine learning Preprint Sep 2026

NPBoost: Neural Processes with Gradient-Boosted Fixed Effects

This work introduces Neural Process Boosting (NPBoost), which decomposes structured response variability into tree-boosted fixed effects shared across tasks and NP random effects that capture stochastic task-to-task variation.

Andrea Nava, Ken Rölli, Armin Begić et al. · 0 citations