wittawatj / kernel-gof
NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
☆67Updated 5 years ago
Alternatives and similar repositories for kernel-gof:
Users that are interested in kernel-gof are comparing it to the libraries listed below
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- ☆40Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Deep Generative Models with Stick-Breaking Priors☆95Updated 8 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆100Updated 8 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago