aki-nishimura / discontinuous-hmcLinks
"Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
☆28Updated 7 years ago
Alternatives and similar repositories for discontinuous-hmc
Users that are interested in discontinuous-hmc are comparing it to the libraries listed below
Sorting:
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 5 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Updated 8 years ago
- Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)☆33Updated 4 years ago
- E.T. Jaynes home phone.☆45Updated 4 years ago
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- A light interface to serial and multi-threaded Sequential Monte Carlo☆32Updated 3 years ago
- Unbiased MCMC with couplings☆19Updated 5 years ago
- R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)☆28Updated 5 years ago
- Inference for diffusion processes with the use of `Guided Proposals`☆16Updated 4 years ago
- This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and shar…☆21Updated 6 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Efficient, lightweight variational inference and approximation bounds☆44Updated last year
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- A Julia package to support conjugate prior distributions.☆48Updated 2 years ago
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago
- Unbiased Markov chain Monte Carlo with couplings☆30Updated 3 years ago
- Why multiple dispatch lets you write composable code☆40Updated 4 years ago
- Advanced Topics in Scientific Computing with Julia☆91Updated 5 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Featherweight embedded probabilistic programming language and compositional inference programming library☆18Updated 5 years ago
- Julia package for Bayesian mixture models☆27Updated 4 years ago
- Posterior with interesting shapes from actually used models☆13Updated 7 months ago
- Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"☆30Updated 3 years ago
- Causal Inference with Invariant Prediction☆25Updated 4 years ago
- ☆12Updated 3 years ago
- Benchmarks of Bayesian Nonparametric models in Turing and other PPLs☆29Updated last year
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform…☆125Updated last month