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:
- Bayesian optimization in high-dimensions via random embedding.☆116Updated 12 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆30Updated 8 years ago
- Bayesian optimization☆38Updated 6 years ago
- A CVXPY extension for multi-convex programming☆46Updated 2 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆272Updated 5 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆78Updated 3 years ago
- ☆77Updated 3 years ago
- A CVXPY extension for convex-concave programming☆134Updated last month
- Differentiation through cone programs☆111Updated 3 months ago
- A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework☆117Updated 5 years ago
- Parameterization Framework for parameterized model creation and handling.☆49Updated 5 months ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆188Updated 11 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 5 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- The differentiable OSQP solver layer for PyTorch☆64Updated 2 years ago
- Streaming sparse Gaussian process approximations☆69Updated 3 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 8 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- ☆50Updated last year
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆20Updated 3 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 9 years ago
- ☆67Updated 7 years ago
- Python interface for SCS☆45Updated last week
- Differentiable Gaussian Process implementation for PyTorch☆22Updated 7 years ago