OlegArenz / VIPS
Variational Inference by Policy Search
☆13Updated 6 years ago
Alternatives and similar repositories for VIPS
Users that are interested in VIPS are comparing it to the libraries listed below
Sorting:
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆29Updated 8 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 5 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 5 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆40Updated 6 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- Nonparametric Differential Equation Modeling☆53Updated last year
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 5 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- ☆28Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- E2C implementation in PyTorch☆43Updated 7 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- ☆65Updated last year
- ☆30Updated last year
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Tensorflow implementation of Stein Variational Gradient Descent (SVGD)☆25Updated 7 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- A toolbox for inference of mixture models☆16Updated last year
- Streaming sparse Gaussian process approximations☆65Updated 2 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- ☆54Updated 7 years ago
- Code release for the ICLR paper☆20Updated 6 years ago