17 citations · 32 across the 3 of their papers we have counts for
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stat.CO2020★ 17 cited
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…
cs.PL2020★ 11 cited
Joint Distributions for TensorFlow Probability
Dan Piponi, Dave Moore, Joshua V. Dillon
A central tenet of probabilistic programming is that a model is specified exactly once in a canonical representation which is usable by inference algorithms. We describe JointDistr…