daeilkim / bbvi
Black Box Variational Inference
☆14Updated 9 years ago
Alternatives and similar repositories for bbvi:
Users that are interested in bbvi are comparing it to the libraries listed below
- ☆40Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 4 months ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Gaussian Processes in Pytorch☆75Updated 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
- ☆11Updated last year
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆81Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- ☆28Updated 6 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- Black Box Variational Inference for Bayesian logistic regression☆19Updated 7 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 3 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- code release for the NIPS 2016 paper☆26Updated 8 years ago
- ☆37Updated 5 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago