17 citations · 19 across the 3 of their papers we have counts for
3 papers
tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware
Junpeng Lao, Christopher Suter, Ian Langmore +7
Markov chain Monte Carlo (MCMC) is widely regarded as one of the most important algorithms of the 20th century. Its guarantees of asymptotic convergence, stability, and estimator-v…
Air Markov Chain Monte Carlo
Cyril Chimisov, Krzysztof Latuszynski, Gareth Roberts
We introduce a class of Adapted Increasingly Rarely Markov Chain Monte Carlo (AirMCMC) algorithms where the underlying Markov kernel is allowed to be changed based on the whole ava…
Adapting The Gibbs Sampler
Cyril Chimisov, Krzysztof Latuszynski, Gareth Roberts
The popularity of Adaptive MCMC has been fueled on the one hand by its success in applications, and on the other hand, by mathematically appealing and computationally straightforwa…