Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
☆45Sep 7, 2021Updated 4 years ago
Alternatives and similar repositories for alebo
Users that are interested in alebo are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆44Jun 8, 2019Updated 7 years ago
- Bayesian optimization in high-dimensions via random embedding.☆116Aug 4, 2013Updated 13 years ago
- ☆238Jul 25, 2024Updated 2 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆16Dec 7, 2020Updated 5 years ago
- Code repository for Ensemble Bayesian Optimization☆61Jul 18, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆45Mar 6, 2023Updated 3 years ago
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆23Mar 24, 2023Updated 3 years ago
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆20Jul 17, 2025Updated last year
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆22Jan 5, 2024Updated 2 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆53Sep 16, 2021Updated 4 years ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆15Dec 30, 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 4 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Jun 19, 2024Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Dec 26, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code accompanying https://arxiv.org/abs/1802.02219☆20Oct 5, 2022Updated 3 years ago
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆24Jun 29, 2025Updated last year
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆42Apr 24, 2020Updated 6 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Sep 23, 2017Updated 8 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆24Dec 20, 2020Updated 5 years ago
- Official PyTorch Implementation for Advancing Bayesian Optimization via Learning Correlated Latent Space (CoBO)☆18Apr 22, 2025Updated last year
- GPareto cran package☆18Feb 8, 2026Updated 6 months ago
- Use Bayesian Global Optimization to solve inverse problems☆13Jul 20, 2015Updated 11 years ago
- Companion code release to "Bayesian Optimization of Function Networks", published in NeurIPS 2021.☆12Jan 12, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- code associated with paper "Sparse Bayesian Optimization"☆27Oct 31, 2023Updated 2 years ago
- Code for the paper "Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces"☆17Apr 30, 2024Updated 2 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆79Oct 18, 2022Updated 3 years ago
- ☆13Nov 6, 2021Updated 4 years ago
- code for BINOCULARS and Multi-Step BO☆12Dec 7, 2020Updated 5 years ago
- A software package for flexible HPC GPs☆16Aug 11, 2026Updated 3 weeks ago
- Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, publi…☆14Jun 22, 2023Updated 3 years ago
- ☆11Oct 25, 2021Updated 4 years ago
- ☆18Dec 29, 2018Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Python implementation of the MACE Bayesian optimization algorithm, with GPy used as the backend GP library☆21Jun 25, 2018Updated 8 years ago
- NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynami…☆14Sep 11, 2025Updated 11 months ago
- ☆40Feb 28, 2025Updated last year
- ☆19Mar 31, 2024Updated 2 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Feb 24, 2025Updated last year
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Aug 5, 2025Updated last year
- NOMU: Neural Optimization-based Model Uncertainty☆10Feb 17, 2023Updated 3 years ago