Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget

Anoop Korattikara Balan, Yutian Chen, Max Welling

Abstract: Can we make Bayesian posterior MCMC sampling more efficient when faced with very large datasets? We argue that computing the likelihood for N datapoints in the Metropolis-Hastings (MH) test to reac...