ilijabogunovic / Robust-BOLinks
List of papers on robust Bayesian optimization
☆17Updated 4 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:
- Python Library for Generalized Gaussian Process Modeling☆25Updated 8 months ago
- SAASBO: a package for high-dimensional bayesian optimization☆51Updated 4 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆22Updated 2 years ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆31Updated 2 weeks ago
- Mixed Variable Multi-Objective Optimisation☆20Updated 4 years ago
- Python library for parallel multiobjective simulation optimization☆86Updated this week
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- ☆87Updated 2 years ago
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆104Updated 5 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13Updated 6 years ago
- ☆30Updated 3 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆52Updated 6 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆65Updated last year
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- Spring 2023 seminar on automated experiment☆23Updated 2 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆56Updated 3 years ago
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆18Updated 6 months ago
- A Bayesian optimization toolbox built on TensorFlow☆243Updated 2 months ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆16Updated 2 years ago
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆28Updated 5 months ago
- Gaussian Processes for Experimental Sciences☆231Updated 5 months ago
- ☆14Updated last year
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆67Updated 3 years ago
- Gaussian process augmented with a probabilistic model of expected system's behavior☆15Updated 3 years ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆108Updated 2 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆34Updated 5 years ago
- Bayesian algorithm execution (BAX)☆55Updated 4 years ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago