HuongHa12 / BO_unknown_searchspace
This repository contains the code for the method GPUCB-UBO proposed in the paper 'Bayesian Optimization with Unknown Search Space', NeurIPS'2019, Ha et al.
☆9Updated 5 years ago
Alternatives and similar repositories for BO_unknown_searchspace:
Users that are interested in BO_unknown_searchspace are comparing it to the libraries listed below
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆47Updated 5 years ago
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- ☆30Updated 2 years ago
- ☆49Updated 6 months ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- ☆23Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated 8 months ago
- Benchmark functions for Bayesian optimization☆33Updated 11 months ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆8Updated 3 months ago
- Multi-Information Source Optimization☆22Updated 5 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 6 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆72Updated 2 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Updated 10 years ago
- ☆16Updated 6 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆30Updated 3 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆13Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆11Updated last year
- Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)☆27Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- gpbo☆25Updated 4 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 2 years ago