jgorham / stein_discrepancyLinks
Code to compute the Stein discrepancy between a sample distribution and its target
☆16Updated 7 years ago
Alternatives and similar repositories for stein_discrepancy
Users that are interested in stein_discrepancy are comparing it to the libraries listed below
Sorting:
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 7 months ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Black Box Variational Inference☆14Updated 10 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- ☆37Updated 5 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- ☆11Updated last year
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- ☆10Updated 7 years ago