NPBoost: Neural Processes with Gradient-Boosted Fixed Effects
arXiv:2609.28122v1 Announce Type: new Abstract: Neural Processes (NPs) are model-based meta-learners that implicitly learn a stochastic process and adapt to a new task from a small context set. Most extensions of NPs focus on improving the neural network architecture. We instead develop an extensio…
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- 2026-09-24 04:00 · arXiv stat.ML
NPBoost: Neural Processes with Gradient-Boosted Fixed Effects