arXiv Machine Learning July 23, 2026 By Jungbin Jun, Ilsang Ohn

Adaptive Bayesian Online Learning via Expert Aggregation

Read the original on arXiv Machine Learning →

arXiv:2607. 20239v1 Announce Type: cross Abstract: Bayesian online learning promises uncertainty-aware prediction on data streams, but its performance hinges on inferential choices, including learning rates, prior distributions and variational families, which are usually fixed before seeing the stream.

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