tlienart / EPBP
Expectation Particle Belief Propagation code
☆12Updated 6 years ago
Alternatives and similar repositories for EPBP
Users that are interested in EPBP are comparing it to the libraries listed below
Sorting:
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- My PhD Thesis☆22Updated 9 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 5 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Jax-based MaxEnt☆18Updated 5 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- ☆12Updated 9 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- ☆11Updated last year
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- Posterior Server☆15Updated 8 years ago
- Poisson-Gamma dynamical systems☆17Updated 8 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago