juanjogg1987 / Fully_Natural_Gradient_HetMOGP
This is a repositoy with a Fully Natural Gradient Scheme for Improving optimisation of the HetMOGP Model
☆10Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Fully_Natural_Gradient_HetMOGP
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago
- Continual Gaussian Processes☆31Updated last year
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated 9 months ago
- Variational Gaussian Process State-Space Models☆21Updated 9 years ago
- ☆28Updated 5 years ago
- implementations sde-net☆14Updated 3 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 8 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- Test implementation of Algorithm 1 [Random Fourier Features] from 'Random Features for Large-Scale Kernel Machines' using the code suppli…☆11Updated 4 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 4 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆28Updated 4 months ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆69Updated 3 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆69Updated 2 years ago
- ☆12Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆38Updated 3 months ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆20Updated 5 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆86Updated 4 years ago
- State-space deep Gaussian processes in Python and Matlab☆29Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Sparse Spectrum Gaussian Process Regression☆21Updated 4 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 6 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆31Updated 2 years ago
- Bayesian Active Learning with Fully Bayesian Gaussian Processes☆12Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 5 years ago
- Multi-task Gaussian Process☆43Updated 9 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆26Updated 3 years ago
- Stochastic variational heteroscedastic Gaussian process☆14Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 4 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 4 years ago