Parallelised Thompson Sampling in GPs for Bayesian Optimisation
☆36Sep 23, 2017Updated 8 years ago
Alternatives and similar repositories for gp-parallel-ts
Users that are interested in gp-parallel-ts 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
- NeurIPS 2019 Paper☆12Dec 9, 2019Updated 6 years ago
- ☆14Aug 20, 2019Updated 6 years ago
- ☆14Feb 20, 2026Updated last month
- ☆12Mar 5, 2026Updated last month
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation☆10May 20, 2021Updated 4 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Dec 7, 2020Updated 5 years ago
- Surrogate benchmarks for HPO problems☆32May 26, 2025Updated 10 months ago
- GPareto cran package☆18Feb 8, 2026Updated 2 months ago
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Nov 3, 2021Updated 4 years ago
- Code for the NeurIPS 2020 paper: "Federated Bayesian Optimization via Thompson Sampling"☆26Nov 6, 2020Updated 5 years ago
- Implementations of various random kitchen sinks algorithms.☆14Feb 25, 2020Updated 6 years ago
- Bayesian Optimization Meets Bayesian Optimal Stopping☆32Oct 24, 2020Updated 5 years ago
- A set of real-world multi-objective optimization problems☆59May 29, 2021Updated 4 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.
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆23Jun 29, 2025Updated 9 months ago
- The companion code to the paper "Model-based Causal Bayesian Optimization"☆11Nov 16, 2022Updated 3 years ago
- Python implementation of the MACE Bayesian optimization algorithm, with GPy used as the backend GP library☆21Jun 25, 2018Updated 7 years ago
- Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbal…☆19Feb 14, 2024Updated 2 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Feb 24, 2025Updated last year
- ☆26May 15, 2018Updated 7 years ago
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆106Jun 19, 2020Updated 5 years ago
- FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks☆14Mar 12, 2023Updated 3 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆275Feb 4, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- RoBO: a Robust Bayesian Optimization framework☆490Apr 30, 2019Updated 6 years ago
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Oct 14, 2020Updated 5 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆81Feb 22, 2022Updated 4 years ago
- Reference implementation of Optimistic Expected Improvement.☆49May 17, 2020Updated 5 years ago
- Code accompanying https://arxiv.org/abs/1802.02219☆19Oct 5, 2022Updated 3 years ago
- (GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization☆33Mar 20, 2024Updated 2 years ago
- Bayesian optimization in high-dimensions via random embedding.☆116Aug 4, 2013Updated 12 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆13Mar 9, 2021Updated 5 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Nov 29, 2016Updated 9 years ago
- 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.
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆651Feb 22, 2026Updated last month
- open toolbox for structural comparison☆13Dec 13, 2018Updated 7 years ago
- ☆225Jul 25, 2024Updated last year
- Joint entropy search☆21Dec 7, 2022Updated 3 years ago
- Python code for the paper Bayesian Optimization of Nanoporous Materials.☆23Mar 3, 2023Updated 3 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆103Jan 9, 2026Updated 3 months ago
- code for the ICML2018 paper "Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design"☆30Jul 9, 2018Updated 7 years ago