Writing
Long-form pieces: the mechanisms behind Bayesian and continual learning, worked through.
2026
21 Sep Essay
When Bayesian neural networks remember too much
A Bayesian posterior that accumulates every observation ends up too certain to learn anything new.
4 May Essay
A geometrical interpretation of variational methods in machine learning
Variational methods are often introduced through information theory: learning means finding an approximate distribution that remains close to a target Bayesian posterior.
2 posts since 2024. New ones arrive in the RSS feed.