Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
☆15Sep 30, 2022Updated 3 years ago
Alternatives and similar repositories for MiniBO
Users that are interested in MiniBO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Mar 7, 2023Updated 3 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 10 months ago
- Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.☆13May 22, 2024Updated 2 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 7 years ago
- Released code for ICDM 2016 Budgeted Batch Bayesian Optimization☆10Feb 11, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Sample pytorch implementation of Covariant Compositional Networks☆13Feb 17, 2018Updated 8 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Feb 9, 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
- ☆13Sep 9, 2022Updated 3 years ago
- Efficient Global Optimization☆10Feb 26, 2016Updated 10 years ago
- Just a demonstration of some sampling techniques (rejection sampling, importance sampling, sampling importance resampling, Metropolis sam…☆11Aug 24, 2013Updated 12 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Mar 13, 2022Updated 4 years ago
- Code for the NeurIPS 2020 paper: "Federated Bayesian Optimization via Thompson Sampling"☆26Nov 6, 2020Updated 5 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
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆20Jul 17, 2025Updated last year
- Cost-aware Bayesian optimization via the Pandora's box Gittins index☆13Aug 8, 2025Updated last year
- Scalable data valuation using optimal transport (ICLR 2025)☆13Jul 15, 2025Updated last year
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Jul 13, 2024Updated 2 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Apr 22, 2026Updated 3 months ago
- Official PyTorch code for UAI 2023 paper "Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via En…☆12Nov 10, 2023Updated 2 years ago
- Regression Modeling With Statistics and Machine Learning in Python by Packt Publishing☆17Oct 31, 2022Updated 3 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆35Feb 3, 2023Updated 3 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆83Feb 22, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Dataset and code for the CLEVR-XAI dataset.☆34Oct 3, 2023Updated 2 years ago
- Optimizing Hyperparameters with Conformal Quantile Regression☆11May 22, 2023Updated 3 years ago
- [CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation☆17Sep 20, 2024Updated last year
- standard, high-dimensional, parallel, constrained, and multiobjective Bayesian optimization algorithms☆49Dec 30, 2024Updated last year
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)☆11Jul 18, 2022Updated 4 years ago
- ☆19May 15, 2023Updated 3 years ago
- Python implementation of Bayesian optimization over permutation spaces.☆20Feb 27, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆34Feb 10, 2026Updated 5 months ago
- ☆14Jun 30, 2017Updated 9 years ago
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆12Nov 21, 2023Updated 2 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆78Oct 18, 2022Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆54Jun 15, 2021Updated 5 years ago
- ☆12Jan 16, 2024Updated 2 years ago
- A python implementation of differentiable quality diversity.☆51Oct 29, 2021Updated 4 years ago