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  • Shuchi Mishra thinks this is interesting:

While many machine learning algorithms ignore features that have weak effects, Bayesian methods utilize all the available evidence to subtly change the predictions. If large number of features have relatively minor effects, taken together, their combined impact could be quite large.

From

Cover of Machine Learning with R - Second Edition

Note

it means maybe reducing attributes/dimensionality is not needed for Bayesian models