tlienart / EPBPLinks
Expectation Particle Belief Propagation code
☆12Updated 7 years ago
Alternatives and similar repositories for EPBP
Users that are interested in EPBP are comparing it to the libraries listed below
Sorting:
- My PhD Thesis☆22Updated 9 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Updated 7 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆32Updated 6 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆17Updated 8 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Bayesian GPLVM in MATLAB and R☆76Updated 8 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- ☆156Updated 6 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 9 years ago
- Kernel structure discovery research code - likely to be unstable☆193Updated 10 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆110Updated 7 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Updated 6 years ago
- ☆98Updated 7 years ago
- Optimizers for machine learning☆183Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago