MethodsOfMachineLearning / entropy-searchLinks
Entropy Search for Information-Efficient Global Optimization - JMLR v13
☆29Updated 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
- A framework for Bayesian optimization of composite functions.☆14Updated 2 years ago
- Reference implementation of Optimistic Expected Improvement.☆49Updated 5 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Variational Inference by Policy Search☆13Updated 6 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆21Updated 2 years ago
- Frank-Wolfe optimization variants with a linear convergence rate☆22Updated 9 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Bayesian optimization☆37Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆22Updated 11 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Streaming sparse Gaussian process approximations☆66Updated 2 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 10 years ago
- ☆28Updated 5 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- ☆51Updated 11 months ago
- Multi-task Gaussian Process☆43Updated 10 years ago