boschresearch / NoisyInputEntropySearchLinks
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 5 years ago
Alternatives and similar repositories for NoisyInputEntropySearch
Users that are interested in NoisyInputEntropySearch are comparing it to the libraries listed below
Sorting:
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 5 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- ☆11Updated last year
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆75Updated 3 years ago
- NeurIPS 2019 Paper☆11Updated 6 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆64Updated last year
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆19Updated last year
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆31Updated 2 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 6 years ago
- ☆14Updated 6 years ago
- Code repository for Ensemble Bayesian Optimization☆55Updated 6 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆41Updated 5 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆12Updated 2 years ago
- ☆23Updated 2 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆79Updated 3 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Updated 6 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Updated 5 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆45Updated 3 years ago
- code for BINOCULARS and Multi-Step BO☆12Updated 5 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated last year
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 7 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆35Updated 2 months ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago