duvenaud / harlemcmc-shakeLinks
Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.
☆36Updated 11 years ago
Alternatives and similar repositories for harlemcmc-shake
Users that are interested in harlemcmc-shake are comparing it to the libraries listed below
Sorting:
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 11 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆188Updated 11 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- code for experiments in Grosse and Salakhutdinov, 2015.☆12Updated 9 years ago
- Bayesian GPLVM in MATLAB and R☆76Updated 8 years ago
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- Cumulative Distribution Transform☆16Updated 8 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- Python and MATLAB code for Stein Variational sampling methods☆26Updated 6 years ago
- Jax-based MaxEnt☆17Updated 6 years ago
- Optimal transport and generalizations☆66Updated 6 years ago
- Bayesian optimization in high-dimensions via random embedding.☆116Updated 12 years ago
- Frank-Wolfe optimization variants with a linear convergence rate☆22Updated 9 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆110Updated 7 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Parameterization Framework for parameterized model creation and handling.☆49Updated 5 months ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆17Updated 6 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago
- Dirichlet process mixture model.☆27Updated 11 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆78Updated 3 years ago
- A collection of Gaussian process models☆30Updated 8 years ago