Showing stat.MLShow all
2 papers · 1 filter
stat.ML2025
A unifying framework for generalised Bayesian online learning in non-stationary environments
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alexander Y. Shestopaloff +1
We propose a unifying framework for methods that perform probabilistic online learning in non-stationary environments. We call the framework BONE, which stands for generalised (B)a…
stat.ML2024
Bayesian Online Natural Gradient (BONG)
Matt Jones, Peter Chang, Kevin Murphy
We propose a novel approach to sequential Bayesian inference based on variational Bayes (VB). The key insight is that, in the online setting, we do not need to add the KL term to r…