jgorham / stein_discrepancy
Code to compute the Stein discrepancy between a sample distribution and its target
☆16Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for stein_discrepancy
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆70Updated 8 years ago
- Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018☆14Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 4 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- ☆12Updated last year
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆24Updated 6 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆48Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 7 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- ☆37Updated 5 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆28Updated 5 years ago
- Expectation Particle Belief Propagation code☆12Updated 6 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 4 years ago
- Amortized Monte Carlo Integration☆15Updated 4 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago