MethodsOfMachineLearning / entropy-searchLinks
Entropy Search for Information-Efficient Global Optimization - JMLR v13
☆30Updated 8 years ago
Alternatives and similar repositories for entropy-search
Users that are interested in entropy-search are comparing it to the libraries listed below
Sorting:
- Max-value Entropy Search for Efficient Bayesian Optimization☆76Updated 3 years ago
- Reference implementation of Optimistic Expected Improvement.☆49Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆62Updated 4 years ago
- Bayesian optimization☆37Updated 5 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated 2 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- ☆28Updated 5 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Variational Inference by Policy Search☆13Updated 6 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 5 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Differentiable Gaussian Process implementation for PyTorch☆22Updated 6 years ago
- ☆51Updated 11 months ago
- Multi-Information Source Optimization☆24Updated 6 years ago
- Online variational GPs☆35Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- ☆22Updated 2 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 6 years ago