singhalrk / stein_ksd
☆10Updated 6 years ago
Alternatives and similar repositories for stein_ksd:
Users that are interested in stein_ksd are comparing it to the libraries listed below
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Code release for the ICLR paper☆20Updated 6 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 6 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 4 months ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆42Updated last year
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated last year
- ☆31Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Stein Variational Policy Gradient for REINFORCE☆17Updated 7 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆28Updated 5 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- code for "Quantile Stein Variational Gradient Descent"☆9Updated 5 years ago
- ☆49Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago