boschresearch / NoisyInputEntropySearch
This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020
☆11Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for NoisyInputEntropySearch
- Bayesian Optimization with Density-Ratio Estimation☆23Updated last year
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 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 10 months ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated last year
- ☆23Updated last year
- NeurIPS 2019 Paper☆11Updated 4 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆29Updated last year
- This repository contains the code for the paper "Local policy search with Bayesian optimization".☆13Updated 2 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆47Updated 6 months ago
- [NeurIPS DBT 2021] HPO-B☆27Updated 3 months ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Updated 2 years ago
- ☆13Updated 5 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆46Updated 5 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆36Updated 3 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆35Updated 4 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆68Updated 2 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆39Updated 5 years ago
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆14Updated 4 months ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆68Updated 2 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆12Updated 5 years ago
- code for BINOCULARS and Multi-Step BO☆11Updated 3 years ago
- An adaptive black-box optimization method with directional Gaussian smoothing for high-dimensional multi-modal functions☆9Updated 3 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆17Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated 9 months ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks☆13Updated last year
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 3 years ago