oxfordcontrol / Bayesian-OptimizationLinks
Reference implementation of Optimistic Expected Improvement.
☆50Updated 5 years ago
Alternatives and similar repositories for Bayesian-Optimization
Users that are interested in Bayesian-Optimization are comparing it to the libraries listed below
Sorting:
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆29Updated 8 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- Bayesian optimization☆37Updated 5 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆74Updated 3 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆269Updated 5 years ago
- Parameterization Framework for parameterized model creation and handling.☆49Updated 4 months ago
- A CVXPY extension for multi-convex programming☆46Updated 2 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆21Updated 2 years ago
- Streaming sparse Gaussian process approximations☆66Updated 2 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Differentiation through cone programs☆101Updated 4 months ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 5 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- ☆51Updated 10 months ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆62Updated 4 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 8 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- ☆76Updated 3 years ago
- Multi-Information Source Optimization☆23Updated 6 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆51Updated 2 weeks ago
- Nonparametric Differential Equation Modeling☆53Updated last year