kirthevasank / gp-parallel-ts
Parallelised Thompson Sampling in GPs for Bayesian Optimisation
☆36Updated 7 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
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- ☆13Updated 5 years ago
- ☆50Updated 7 months ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆72Updated 2 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆40Updated 8 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆35Updated 4 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 3 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆41Updated 3 years ago
- Bayesian neural network package☆144Updated 3 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆15Updated last year
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- ☆23Updated 2 years ago
- Bayesian optimization☆37Updated 5 years ago
- NeurIPS 2019 Paper☆11Updated 5 years ago
- This repository contains the code for the method GPUCB-UBO proposed in the paper 'Bayesian Optimization with Unknown Search Space', NeurI…☆9Updated 5 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆149Updated 6 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 4 years ago
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Updated 3 years ago
- ☆26Updated 6 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- ☆40Updated 5 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆48Updated 10 months ago