expectation-propagation

There are 1 repository under expectation-propagation topic.

gpstuff-dev / gpstuff
GPstuff - Gaussian process models for Bayesian analysis
bayesian bayesian-inference bayesian-optimization classification covariance-functions expectation-propagation gaussian-processes mcmc octave regression spatial-analysis survival-analysis variational-inference
Language:MATLAB 165
sphinxteam / tramp
Tree Approximate Message Passing
bayesian-inference expectation-propagation state-evolution
Language:Python 28
wittawatj / kernel-ep
UAI 2015. Kernel-based just-in-time learning for expectation propagation
bayesian-inference csharp expectation-propagation kernel-methods machine-learning matlab
Language:MATLAB 17
tlienart / EPBP
Expectation Particle Belief Propagation code
bayesian-inference markov-random-field belief-propagation importance-sampling expectation-propagation
Language:Julia 11
FirstHandScientist / amp
Advanced Message Passing
belief-propagation message-passing expectation-propagation graphical-models
Language:Python 9
HIIT / knowledge-elicitation-for-linear-regression
Knowledge elicitation when the user can give feedback to different features of the model with the goal to improve the prediction on the test data in a "smal n, large p" setting.
interactive-learning knowledge-elicitation sparse-regression human-computer-interaction bayesian-experimental-design expectation-propagation
Language:MATLAB 8
tlienart / EPInference.jl
A package to perform EP inference in a variety of settings
bayesian-inference statistics expectation-propagation markov-random-field
Language:Julia 4
lpcinelli / probabilistic-nn
Probabilistic approach to neural nets - modern scalable approximate inference methods
bayesian-neural-networks variational-inference approximate-inference monte-carlo-dropout expectation-propagation
Language:Jupyter Notebook 1
omerwe / AEP
Maximum Likelihood for Gaussian Process Classifiers under Case-Control Sampling
expectation-propagation machine-learning gaussian-processes gaussian-process-classifiers
Language:Python 0
AaltoML / improved-hyperparameter-learning
Codes for 'Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models' (ICML 2023)
approximate-inference expectation-propagation gaussian-processes variational-inference
Language:Jupyter Notebook
MauroCE / PersonalWebsite
Personal Website with Blogposts, Achievements and Ideas
artificial-intelligence bristol bristol-phd data-science expectation-propagation genetics genome machine-learning mauro mauro-camara mauro-camara-escudero mcmc mcmc-methods mcmc-sampler variational-inference
Language:HTML
tlienart / thox
[done] phd thesis @ oxford stats
bayesian-inference machine-learning sampling variational-inference expectation-propagation
Language:TeX