kirthevasank / add-gp-banditsLinks
Additive Gaussian Process Bandits - version 1.0
☆27Updated 8 years ago
Alternatives and similar repositories for add-gp-bandits
Users that are interested in add-gp-bandits are comparing it to the libraries listed below
Sorting:
- Max-value Entropy Search for Efficient Bayesian Optimization☆74Updated 3 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 5 years ago
- ☆40Updated 6 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆93Updated 7 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 5 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 9 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆40Updated 8 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Python library for Recurrent Gaussian Processes☆19Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆29Updated 8 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago