Bayesian optimization in high-dimensions via random embedding.
☆116Aug 4, 2013Updated 12 years ago
Alternatives and similar repositories for rembo
Users that are interested in rembo are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆19Apr 15, 2022Updated 4 years ago
- Bayesian optimization with the Gaussian process assumption☆30Apr 25, 2016Updated 10 years ago
- Source codes for Probability-Adaptive Kriging in n-Ball (PAK-Bn) (Kim & Song, 2020)☆11Apr 6, 2025Updated last year
- A lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.☆21Nov 1, 2017Updated 8 years ago
- NeurIPS 2019 Paper☆12Dec 9, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Nov 27, 2016Updated 9 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆42Mar 6, 2023Updated 3 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Jun 8, 2019Updated 6 years ago
- Implementation of Stochastic Gradient Descent algorithms in Python (cite https://doi.org/10.1007/s00158-020-02599-z)☆11May 19, 2021Updated 5 years ago
- MATLAB implementation of my Bayesian Optimization algorithms☆12Mar 17, 2018Updated 8 years ago
- Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems☆19May 21, 2018Updated 7 years ago
- Feature Selection by Optimized LASSO algorithm☆17May 3, 2017Updated 9 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆53Sep 16, 2021Updated 4 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Nov 10, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A simple Matlab-based plotter for models developed in OpenSees☆14Nov 19, 2019Updated 6 years ago
- The MATLAB code below implements the second-order SPSA (simultaneous perturbation stochastic approximation) and second-order SG (stochast…☆13Nov 27, 2020Updated 5 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Nov 15, 2013Updated 12 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Sep 23, 2017Updated 8 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Aug 14, 2018Updated 7 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Feb 24, 2025Updated last year
- Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation☆10May 20, 2021Updated 4 years ago
- Customized FERUM (Finite Element Reliability Using Matlab)☆13Apr 15, 2022Updated 4 years ago
- Matlab Copula Toolbox☆43May 19, 2019Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Topology optimization for plain stress problem in Matlab. Using Hyperworks to prepare the model and view results.☆10Feb 7, 2019Updated 7 years ago
- Sampling via Moment Sharing☆11Jul 29, 2015Updated 10 years ago
- A general FEM toolbox to analyze planar (2D) and 3D structures, including trusses, beams, frames, plane stress/strain, and 3D solid struc…☆13Dec 12, 2022Updated 3 years ago
- Bayesian Optimization using GPflow☆275Dec 2, 2020Updated 5 years ago
- Reference implementation of Optimistic Expected Improvement.☆49May 17, 2020Updated 6 years ago
- GPareto cran package☆18Feb 8, 2026Updated 3 months ago
- Bayesian Optimization with Density-Ratio Estimation☆23Dec 26, 2022Updated 3 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 7 years ago
- Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB☆269Dec 5, 2025Updated 5 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- A software package for flexible HPC GPs☆16Updated this week
- This Matlab files are used to demonstrate on how to perform Reliability-based Design Optimization (RBDO) using FERUM. Two approaches are …☆16Aug 21, 2023Updated 2 years ago
- Exploring differentiation with respect to hyperparameters☆297Jan 15, 2016Updated 10 years ago
- The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which i…☆45Jan 13, 2026Updated 4 months ago
- Bayesian optimization☆38Dec 3, 2019Updated 6 years ago