36 citations · 163 across the 27 of their papers we have counts for
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Comment: A brief survey of the current state of play for Bayesian computation in data science at Big-Data scale
David Draper, Alexander Terenin
We wish to contribute to the discussion of "Comparing Consensus Monte Carlo Strategies for Distributed Bayesian Computation" by offering our views on the current best methods for B…
Techniques for proving Asynchronous Convergence results for Markov Chain Monte Carlo methods
Alexander Terenin, Eric P. Xing
Markov Chain Monte Carlo (MCMC) methods such as Gibbs sampling are finding widespread use in applied statistics and machine learning. These often lead to difficult computational pr…
Pólya Urn Latent Dirichlet Allocation: a doubly sparse massively parallel sampler
Alexander Terenin, Måns Magnusson, Leif Jonsson +1
Latent Dirichlet Allocation (LDA) is a topic model widely used in natural language processing and machine learning. Most approaches to training the model rely on iterative algorith…
A Noninformative Prior on a Space of Distribution Functions
Alexander Terenin, David Draper
In a given problem, the Bayesian statistical paradigm requires the specification of a prior distribution that quantifies relevant information about the unknowns of main interest ex…