Dec 31, 2015 · This paper makes two contributions to Bayesian machine learning algorithms. Firstly, we propose stochastic natural gradient expectation propagation (SNEP).
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We demonstrate SNEP and the posterior server on distributed Bayesian learning of logistic regression and neural networks. Keywords: Distributed Learning, Large ...
This paper makes two contributions to Bayesian machine learning algorithms. Firstly, we propose stochastic natural gradient expectation propagation (SNEP),.
This paper makes two contributions to Bayesian machine learning algorithms. Firstly, we propose stochastic natural gradient expectation propagation (SNEP), ...
Stochastic natural gradient expectation propagation is proposed, a novel alternative to expectation propagation, a popular variational inference algorithm, ...
We demonstrate SNEP and the posterior server on distributed Bayesian learning of logistic regression and neural networks. Keywords: Distributed Learning, Large ...
Jan 1, 2016 · We demonstrate SNEP and the posterior server on distributed Bayesian learning of logistic regression and neural networks. Keywords: Distributed ...
Distributed Bayesian Learning with SNEP and Posterior Server. Yee Whye Teh ... Use expectation propagation (EP) [Minka 2001] to adapt local priors. pj(X ...
This paper makes two contributions to Bayesian machine learning algorithms. Firstly, we propose stochastic natural gradient expectation propagation (SNEP).
Sep 13, 2024 · This paper makes two contributions to Bayesian machine learning algorithms. Firstly, we propose stochastic natural gradient expectation ...