thjashin / solvegp
Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)
☆22Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for solvegp
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆80Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆109Updated 2 years ago
- ☆28Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year
- ☆40Updated 5 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 5 months ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 4 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆18Updated 5 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- The code for Meta Learning for SGMCMC☆24Updated 5 years ago
- This repository contains the Python code to reproduce all the figures and experiments presented in the paper: Masegosa, Andrés. R., Learn…☆9Updated last year
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year