YingzhenLi / SteinGradLinks
Code release for the ICLR paper
☆21Updated 7 years ago
Alternatives and similar repositories for SteinGrad
Users that are interested in SteinGrad 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 variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 9 months ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- ☆10Updated 7 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Lagrangian VAE☆28Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 6 years ago
- Implementation of the Functional Neural Process models☆43Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 months ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 9 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- ☆37Updated 6 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Scaled MMD GAN☆36Updated 5 years ago