HIPS / firefly-monte-carlo
Implementation of an algorithm for Markov chain Monte Carlo with data subsampling
☆32Updated 8 years ago
Alternatives and similar repositories for firefly-monte-carlo:
Users that are interested in firefly-monte-carlo are comparing it to the libraries listed below
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Code for AutoGP☆26Updated 5 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆10Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 4 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- changepoint detection for Bayesian models☆21Updated 10 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Library of common tools for machine learning research.☆40Updated 7 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Deep GPs with GPy☆31Updated 8 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- ☆46Updated 11 years ago
- active learning + reusable workflows + likelihood free inference☆60Updated 7 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 3 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆49Updated 7 months ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Parameterization Framework for parameterized model creation and handling.☆47Updated this week
- Gaussian process regression demo in Javascript☆35Updated 7 years ago