ntienvu / MiniBO
Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
☆15Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for MiniBO
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated last year
- Bayesian Optimization with Density-Ratio Estimation☆23Updated last year
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆14Updated 5 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 3 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆68Updated 2 years ago
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆11Updated 3 years ago
- An adaptive black-box optimization method with directional Gaussian smoothing for high-dimensional multi-modal functions☆9Updated 3 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆46Updated 5 years ago
- a curated list of bayesian optimization tutorials, papers, softwares☆26Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 3 years ago
- NeurIPS 2019 Paper☆11Updated 4 years ago
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Updated 4 years ago
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆14Updated 4 months ago
- ☆23Updated last year
- Nonparametric Differential Equation Modeling☆51Updated 8 months ago
- Python and MATLAB code for Stein Variational sampling methods☆23Updated 5 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆36Updated 3 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆39Updated 5 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated last year
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 2 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆28Updated 4 months ago
- ☆15Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆10Updated last year
- ☆27Updated 5 years ago
- ☆30Updated 2 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆15Updated 10 months ago
- Refining continuous-in-depth neural networks☆39Updated 2 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- ☆11Updated 3 years ago
- code for BINOCULARS and Multi-Step BO☆11Updated 3 years ago