Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach

Jonathan H. Huggins, Trevor Campbell, Mikołaj Kasprzak +1

Bayesian inference typically requires the computation of an approximation to the posterior distribution. An important requirement for an approximate Bayesian inference algorithm is…