karlnapf / kernel_hmcLinks
Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
☆25Updated 7 years ago
Alternatives and similar repositories for kernel_hmc
Users that are interested in kernel_hmc are comparing it to the libraries listed below
Sorting:
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"☆16Updated 6 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- ☆26Updated 7 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 10 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
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Various estimators of the infinite dimensional exponential family model☆15Updated 8 years ago
- ☆40Updated 6 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆182Updated 6 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- ☆37Updated 5 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Expectation Particle Belief Propagation code☆12Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago