RaulAstudillo06 / BOCF
A framework for Bayesian optimization of composite functions.
☆14Updated 2 years ago
Alternatives and similar repositories for BOCF
Users that are interested in BOCF are comparing it to the libraries listed below
Sorting:
- 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
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- NeurIPS 2019 Paper☆11Updated 5 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- ☆51Updated 9 months ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 5 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Updated 2 years ago
- ☆28Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆29Updated 8 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 5 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 5 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆14Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 10 months ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- ☆13Updated 5 years ago
- ☆15Updated 2 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago