Sohl-Dickstein / LAHMC
Look Ahead Hamiltonian Monte Carlo
☆30Updated 9 years ago
Alternatives and similar repositories for LAHMC:
Users that are interested in LAHMC are comparing it to the libraries listed below
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Code for AutoGP☆26Updated 5 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- ☆40Updated 5 years ago
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆37Updated 10 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- customized GPflow with simple Tensorflow API☆17Updated 5 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆105Updated 7 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 4 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago