ntienvu / MiniBOLinks
Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
☆15Updated 2 years ago
Alternatives and similar repositories for MiniBO
Users that are interested in MiniBO are comparing it to the libraries listed below
Sorting:
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆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 2 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆74Updated 3 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- NeurIPS 2019 Paper☆11Updated 5 years ago
- code for BINOCULARS and Multi-Step BO☆12Updated 4 years ago
- a curated list of bayesian optimization tutorials, papers, softwares☆30Updated 4 years ago
- Accompanying code for our NeurIPS 2019 paper☆12Updated 5 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆51Updated last year
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆11Updated 4 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆17Updated last year
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 6 years ago
- Adaptive MCMC and CMA-ES Python code☆14Updated 5 years ago
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆20Updated 5 years ago
- ☆15Updated 2 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Benchmark functions for Bayesian optimization☆33Updated last year
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆14Updated 6 years ago
- ☆30Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆43Updated 3 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago