AI RESEARCH
Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features
arXiv CS.LG
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ArXi:2602.19126v2 Announce Type: replace We propose a robust Bayesian formulation of random feature (RF) regression that accounts explicitly for prior and likelihood misspecification via Huber-style contamination sets. Starting from the classical equivalence between ridge-regularized