Mixture modelling encompasses a class of statistical methods that represent complex data distributions as combinations of simpler component distributions. By introducing latent variables to indicate ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Finite mixture models represent complex data by combining several simple probability distributions, each weighted by a mixing proportion. This framework captures heterogeneity in populations or ...