pgermain / PAC-Bayesian-Theory-Meets-Bayesian-Inference
Code to related to my NIPS 2016 paper
☆10Updated 8 years ago
Alternatives and similar repositories for PAC-Bayesian-Theory-Meets-Bayesian-Inference:
Users that are interested in PAC-Bayesian-Theory-Meets-Bayesian-Inference are comparing it to the libraries listed below
- Black Box Variational Inference☆14Updated 9 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- ☆68Updated 6 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆21Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆40Updated 5 years ago
- Code for AutoGP☆26Updated 5 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- ☆11Updated 8 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 9 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 8 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 5 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Updated 6 years ago