XZT008 / Standard-GP-is-all-you-need-for-HDBOLinks
Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks
☆13Updated last month
Alternatives and similar repositories for Standard-GP-is-all-you-need-for-HDBO
Users that are interested in Standard-GP-is-all-you-need-for-HDBO are comparing it to the libraries listed below
Sorting:
- Bayesian Neural Network Surrogates for Bayesian Optimization☆53Updated last year
- SAASBO: a package for high-dimensional bayesian optimization☆44Updated 3 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆58Updated 2 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆13Updated 5 months ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆31Updated last year
- code for BINOCULARS and Multi-Step BO☆12Updated 4 years ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 2 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆15Updated this week
- Pre-trained Gaussian processes for Bayesian optimization☆94Updated 3 months ago
- List of papers on robust Bayesian optimization☆17Updated 3 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 3 months ago
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆19Updated 3 weeks ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆12Updated 6 years ago
- ☆24Updated 2 years ago
- Python Library for Generalized Gaussian Process Modeling☆25Updated 4 months ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆52Updated 5 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆75Updated 2 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- ☆29Updated 5 months ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆19Updated last year
- [NeurIPS DBT 2021] HPO-B☆35Updated last week
- A Bayesian optimization toolbox built on TensorFlow☆238Updated last month
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆31Updated 4 years ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆28Updated 2 months 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