conftrace_

distributed inference

35 papers

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markov chain monte carlo (6) parallel computing (5) bayesian inference (5) variational inference (5) bayesian nonparametrics (5) distributed learning (4) parallel inference (3) large language model (3) gibbs sampling (3) distributed computing (3)

Papers

Distributed Inference for Dirichlet Process Mixture Models ICML 2015 Streaming, Distributed Variational Inference for Bayesian Nonparametrics NeurIPS 2015 Distributed Stochastic Gradient MCMC ICML 2014 Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NeurIPS 2014 Analyzing Hogwild Parallel Gaussian Gibbs Sampling NeurIPS 2013 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013 Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NeurIPS 2009 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Privacy-Preserving Belief Propagation and Sampling NeurIPS 2007 Distributed Inference in Dynamical Systems NeurIPS 2006