ilijabogunovic / Robust-BOLinks
List of papers on robust Bayesian optimization
☆17Updated 3 years ago
Alternatives and similar repositories for Robust-BO
Users that are interested in Robust-BO are comparing it to the libraries listed below
Sorting:
- SAASBO: a package for high-dimensional bayesian optimization☆47Updated 4 years ago
- Python Library for Generalized Gaussian Process Modeling☆25Updated 6 months ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆29Updated 2 months ago
- Mixed Variable Multi-Objective Optimisation☆20Updated 4 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆23Updated 2 years ago
- Python library for parallel multiobjective simulation optimization☆83Updated last year
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆102Updated 5 years ago
- A Bayesian optimization toolbox built on TensorFlow☆240Updated 2 weeks ago
- Gaussian Processes for Experimental Sciences☆228Updated 3 months ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13Updated 6 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆62Updated 3 years ago
- Spring 2023 seminar on automated experiment☆23Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆62Updated last year
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆43Updated 4 years ago
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆11Updated 3 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆56Updated 3 years ago
- ☆86Updated 2 years ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆108Updated 2 years ago
- A software package for flexible HPC GPs☆16Updated last week
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆15Updated 2 years ago
- Experimental design and (multi-objective) bayesian optimization.☆317Updated this week
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- ☆13Updated 10 months ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆32Updated 4 years ago
- ☆73Updated 5 years ago
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆17Updated 4 months ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Updated 2 months ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 6 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆33Updated 4 years ago