zi-w / Max-value-Entropy-Search
Max-value Entropy Search for Efficient Bayesian Optimization
☆71Updated 2 years ago
Alternatives and similar repositories for Max-value-Entropy-Search:
Users that are interested in Max-value-Entropy-Search are comparing it to the libraries listed below
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆14Updated 6 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆29Updated 7 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Updated 8 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated 2 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated last year
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆41Updated 3 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆148Updated 6 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 4 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- Bayesian Optimization of Combinatorial Structures☆97Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆94Updated 7 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 8 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 3 years ago
- Bayesian optimization in high-dimensions via random embedding.☆113Updated 11 years ago
- Nonparametric Differential Equation Modeling☆53Updated 11 months ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 4 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago