Functions of the ratio of the densities p/q are widely used in machine
l...
The recent introduction of gradient-based MCMC for discrete spaces holds...
The likelihood function plays a crucial role in statistical inference an...
Statistical models are central to machine learning with broad applicabil...
Density-ratio estimation via classification is a cornerstone of unsuperv...
Unnormalised latent variable models are a broad and flexible class of
st...