Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from Patterns of Scalable Bayesian Inference. Local targets link to admitted publications; unresolved targets remain external evidence.
Bayesian posterior sampling via stochastic gradient Fisher scoring
2012 · External reference
Simulated annealing for discrete optimization with estimation
10.1016/s0377-2217(98)00112-x · 1999 · External reference
10.1090/mmono/191
10.1090/mmono/191 · 2007 · External reference
On the ergodicity properties of some adaptive MCMC algorithms
10.1214/105051606000000286 · 2006 · External reference
The pseudo-marginal approach for efficient Monte Carlo computations
2009 · External reference
A tutorial on adaptive MCMC
10.1007/s11222-008-9110-y · 2008 · External reference
Particle Markov chain Monte Carlo methods
10.1111/j.1467-9868.2009.00736.x · 2010 · External reference
Unresolved reference
2014 · External reference
Accelerating MCMC via parallel predictive prefetching
2014 · External reference
Unresolved reference
1959 · External reference
Asynchronous distributed learning of topic models
2008 · External reference
Exploration-exploitation tradeoff using variance estimates in multi-armed bandits
10.1016/j.tcs.2009.01.016 · 2009 · External reference
Concentration inequalities for sampling without replacement
2015 · External reference
Towards scaling up Markov chain Monte Carlo: An adaptive subsampling approach
2014 · External reference
On Markov chain Monte Carlo methods for tall data
2015 · External reference
Estimation of population growth or decline in genetically monitored populations
10.1093/genetics/164.3.1139 · 2003 · External reference
Unresolved reference
2016 · External reference
Unresolved reference
1989 · External reference
The fundamental incompatibility of scalable Hamiltonian Monte Carlo and naive data subsampling
2015 · External reference
Unresolved reference
2006 · External reference
10.1007/978-1-4612-1394-9
10.1007/978-1-4612-1394-9 · 2000 · External reference
Unresolved reference
1998 · External reference
10.1561/2200000016 · 2011 · Admitted local publication
Parallel Markov chain Monte Carlo simulation by prefetching
10.1198/106186006x100579 · 2006 · External reference
Streaming variational Bayes
2013 · External reference
10.1201/b10905
10.1201/b10905 · 2011 · External reference
Unresolved reference
1988 · External reference
Importance weighted autoencoders
2016 · External reference
Unresolved reference
2008 · External reference
On the parallelisation of MCMC by speculative chain execution
2010 · External reference
Approximate decentralized Bayesian inference
2014 · External reference
Streaming, distributed variational inference for Bayesian nonparametrics
2015 · External reference
Stochastic gradient Hamiltonian Monte Carlo
2014 · External reference
10.1007/978-3-642-46092-0
10.1007/978-3-642-46092-0 · 1967 · External reference
Ensuring rapid mixing and low bias for asynchronous Gibbs sampling
2016 · External reference
Unresolved reference
1983 · External reference
Bayesian sampling using stochastic gradient thermostats
2014 · External reference
Large scale nonparametric Bayesian inference: Data parallelisation in the Indian buffet process
2009 · External reference
Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
10.1093/biomet/asu075 · 2015 · External reference
Black-box stochastic variational inference in five lines of python
2015 · External reference
Random-weight particle filtering of continuous time processes
10.1111/j.1467-9868.2010.00744.x · 2010 · External reference
Unresolved reference
1984 · External reference
Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
1998 · External reference
Unresolved reference
2014 · External reference
Expectation propagation as a way of life
2014 · External reference
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
1984 · External reference
Practical Markov chain Monte Carlo
1992 · External reference
Linear response methods for accurate covariance estimates from mean field variational Bayes
2015 · External reference
Riemann manifold Langevin and Hamiltonian Monte Carlo methods
10.1111/j.1467-9868.2010.00765.x · 2011 · External reference
Parallel Gibbs sampling: From colored fields to thin junction trees
2011 · External reference
Measuring sample quality with Stein’s method
2015 · External reference
Web-scale Bayesian click-through rate prediction for sponsored search advertising in Microsoft’s Bing search engine
2010 · External reference
Sandwiching the marginal likelihood using bidirectional Monte Carlo
2015 · External reference
An adaptive Metropolis algorithm
10.2307/3318737 · 2001 · External reference
Distributed Bayesian learning with stochastic natural-gradient expectation propagation and the posterior server
2016 · External reference
10.1007/978-0-387-21606-5
10.1007/978-0-387-21606-5 · 2001 · External reference
Monte Carlo sampling methods using Markov chains and their applications
10.1093/biomet/57.1.97 · 1970 · External reference
Expectation propagation for approximate inference in dynamic Bayesian networks
2002 · External reference
Sufficient statistics and exponential families
10.1214/aos/1176342879 · 1974 · External reference
More effective distributed ML via a stale synchronous parallel parameter server
2013 · External reference
Stochastic variational inference
2013 · External reference
Unresolved reference
2005 · External reference
Memoized online variational inference for Dirichlet process mixture models
2013 · External reference
Reliable and scalable variational inference for the hierarchical Dirichlet process
2015 · External reference
Understanding errors in approximate distributed latent Dirichlet allocation
10.1109/tkde.2011.29 · 2012 · External reference
On nonnegative unbiased estimators
10.1214/15-aos1311 · 2015 · External reference
Analyzing Hogwild parallel Gaussian Gibbs sampling
2013 · External reference
Unresolved reference
2014 · External reference
10.1007/978-0-387-93839-4
10.1007/978-0-387-93839-4 · 2010 · External reference
Auto-encoding variational Bayes
2014 · External reference
Optimization and sensitivity analysis of computer simulation models by the score function method
10.1016/0377-2217(95)00107-7 · 1996 · External reference
Unresolved reference
2009 · External reference
Sequential imputations and Bayesian missing data problems
10.1080/01621459.1994.10476469 · 1994 · External reference
Austerity in MCMC land: Cutting the Metropolis-Hastings budget
2014 · External reference
Unresolved reference
2015 · External reference
Modelling in the context of massively missing data
2015 · External reference
Adaptive thermostats for noisy gradient systems
10.1137/15m102318x · 2016 · External reference
Stochastic expectation propagation
2015 · External reference
A noisy Monte Carlo algorithm
10.1103/physrevd.61.074505 · 2000 · External reference
PLDA+: Parallel latent Dirichlet allocation with data placement and pipeline processing
10.1145/1961189.1961198 · 2011 · External reference
On Russian roulette estimates for Bayesian inference with doubly-intractable likelihoods
10.1214/15-sts523 · 2015 · External reference
A complete recipe for stochastic gradient MCMC
2015 · External reference
Unresolved reference
2003 · External reference
Firefly Monte Carlo: Exact MCMC with subsets of data
2014 · External reference
A variational analysis of stochastic gradient algorithms
2016 · External reference
New insights and perspectives on the natural gradient method
2015 · External reference
Optimizing neural networks with Kronecker-factored approximate curvature
2015 · External reference
Unresolved reference
1982 · External reference
The population posterior and bayesian inference on streams
2015 · External reference
Equation of state calculations by fast computing machines
10.1063/1.1699114 · 1953 · External reference
10.1017/cbo9780511626630
10.1017/cbo9780511626630 · 2009 · External reference
Expectation propagation for approximate Bayesian inference
2001 · External reference
Scalable and robust Bayesian inference via the median posterior
2014 · External reference
Neural variational inference and learning in belief networks
2014 · External reference
Variational inference for monte carlo objectives
2016 · External reference
Empirical Bernstein stopping
10.1145/1390156.1390241 · 2008 · External reference
Unresolved reference
2012 · External reference
Loopy belief propagation for approximate inference: An empirical study
1999 · External reference
An improved acceptance procedure for the hybrid Monte Carlo algorithm
10.1006/jcph.1994.1054 · 1994 · External reference
Unresolved reference
2010 · External reference
Asymptotically exact, embarrassingly parallel MCMC
2014 · External reference
Distributed inference for latent Dirichlet allocation
2007 · External reference
Distributed algorithms for topic models
2009 · External reference
Parallel MCMC with generalized elliptical slice sampling
2014 · External reference
Unresolved reference
1998 · External reference
Variational Bayesian inference with stochastic search
2012 · External reference
Unresolved reference
2009 · External reference
A general framework for the parametrization of hierarchical models
2007 · External reference
Stochastic gradient Riemannian Langevin dynamics on the probability simplex
2013 · External reference
Map/reduce uncollapsed Gibbs sampling for Bayesian non parametric models
2014 · External reference
Variational Consensus Monte Carlo
2015 · External reference
An adaptive learning rate for stochastic variational inference
2013 · External reference
Black box variational inference
2014 · External reference
Hogwild!: A lock-free approach to parallelizing stochastic gradient descent
2011 · External reference
Celeste: Variational inference for a generative model of astronomical images
2015 · External reference
Stochastic back-propagation and approximate inference in deep generative models
2014 · External reference
A stochastic approximation method
1951 · External reference
10.1007/978-1-4757-4145-2
10.1007/978-1-4757-4145-2 · 2004 · External reference
Exponential convergence of Langevin distributions and their discrete approximations
10.2307/3318418 · 1996 · External reference
Weak convergence and optimal scaling of random walk Metropolis algorithms
10.1214/aoap/1034625254 · 1997 · External reference
Markov chain Monte Carlo and variational inference: Bridging the gap
2015 · External reference
Approximation analysis of stochastic gradient Langevin dynamics by using Fokker-Planck equation and Ito process
2014 · External reference
Bayes and big data: The consensus Monte Carlo algorithm
10.1080/17509653.2016.1142191 · 2016 · External reference
Probability inequalities for the sum in sampling without replacement
10.1214/aos/1176342611 · 1974 · External reference
Covariance-controlled adaptive Langevin thermostat for large-scale Bayesian sampling
2015 · External reference
Monte Carlo MCMC: Efficient inference by approximate sampling
2012 · External reference
Practical Bayesian optimization of machine learning algorithms
2012 · External reference
Matchbox: Large scale online Bayesian recommendations
10.1145/1526709.1526725 · 2009 · External reference
Efficient parallelisation of Metropolis-Hastings algorithms using a prefetching approach
10.1016/j.csda.2009.11.019 · 2010 · External reference
Streaming variational inference for Bayesian nonparametric mixture models
2015 · External reference
Consistency and fluctuations for stochastic gradient Langevin dynamics
2016 · External reference
Unbiased Monte Carlo evaluation of certain functional integrals
10.1016/0021-9991(87)90017-9 · 1987 · External reference
10.1561/2200000001 · 2008 · Admitted local publication
Stochastic optimization using simulated annealing with hypothesis test
10.1016/j.amc.2005.05.038 · 2006 · External reference
Parallel MCMC via Weierstrass sampler
2013 · External reference
Über die analytische darstellbarkeit sogenannter willkÜrlicher functionen einer reellen veränderlichen
1885 · External reference
Bayesian learning via stochastic gradient Langevin dynamics
2011 · External reference
Simple statistical gradient-following algorithms for connectionist reinforcement learning
10.1023/a:1022672621406 · 1992 · External reference
Parallel simulated annealing using speculative computation
10.1109/71.97904 · 1991 · External reference
Distributed Bayesian posterior sampling via moment sharing
2014 · External reference
