Stein's method is a collection of tools for analysing distributional
com...
Several researchers have proposed minimisation of maximum mean discrepan...
Stein discrepancies (SDs) monitor convergence and non-convergence in
app...
An important task in machine learning and statistics is the approximatio...
An important task in computational statistics and machine learning is to...
Approximate Markov chain Monte Carlo (MCMC) offers the promise of more r...
Standard Markov chain Monte Carlo diagnostics, like effective sample siz...
To improve the efficiency of Monte Carlo estimation, practitioners are
t...