Mar 30, 2021 · We consider a logistic regression model with a Gaussian prior distribution over the parameters. We show that accurate variational techniques ...
Oct 31, 1996 · First we develop a variational approximation method that allows the computation of posterior distributions for the parameters in Bayesian ...
A variational approximation to the logistic function is shown to be much faster than sampling, but comparable in accuracy, and a simple new technique for ...
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Jun 2, 2024 · Variational logistic regression is a popular method for approximate Bayesian inference seeing wide-spread use in many areas of machine ...
Oct 14, 2023 · Fit the logistic regression model using the tangential method described by Jaakkola and Jordan 1996. Details. The main function is vblogit.
... We studied our algorithms with three nonconjugate models: Bayesian logistic regression (Jaakkola and Jordan, 1997) , hierarchical logistic regression ( ...
Jaakkola, T.S. & Jordan, M.I. (1996), 'A variational approach to Bayesian logistic regression models and their extensions', Available from psyche.mit.edu.
There are many extensions for future work. The first extension is to construct more flexible variational family of distributions. The current branch length ...
Jun 2, 2024 · Abstract. Variational logistic regression is a popular method for approximate Bayesian inference seeing wide-.
Jun 3, 2024 · The Logistic Variational Bayes (LVB) method is a way to do Bayesian inference for logistic regression models. It works by approximating the true ...