lewisKit / Amortized_SVGD
Experiments of amortized stein variational gradient
☆16Updated 7 years ago
Alternatives and similar repositories for Amortized_SVGD:
Users that are interested in Amortized_SVGD are comparing it to the libraries listed below
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- ☆40Updated 5 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆105Updated 7 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆81Updated 4 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Variational Fourier Features☆83Updated 3 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- ☆26Updated 6 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Updated 6 years ago
- ☆37Updated 5 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Various estimators of the infinite dimensional exponential family model☆15Updated 7 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 7 years ago