arXiv Machine Learning June 2, 2026 By Michele Caprio, Katerina Papagiannouli, Siu Lun Chau, Sayan Mukherjee

Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features

Read the original on arXiv Machine Learning →

arXiv:2602. 19126v2 Announce Type: replace Abstract: We propose a robust Bayesian formulation of random feature (RF) regression that accounts explicitly for prior and likelihood misspecification via Huber-style contamination sets.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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