tlienart / EPBP
Expectation Particle Belief Propagation code
☆12Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for EPBP
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆31Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆24Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆70Updated 8 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 4 years ago
- My PhD Thesis☆21Updated 8 years ago
- A Newton ADMM based solver for Cone programming.☆38Updated 7 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 4 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 4 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆48Updated 8 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 4 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆37Updated 10 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 5 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 3 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Jax-based MaxEnt☆18Updated 5 years ago
- ☆32Updated 6 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 6 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 7 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 9 years ago