yucenli / bnn-bo
Bayesian Neural Network Surrogates for Bayesian Optimization
☆48Updated 10 months ago
Alternatives and similar repositories for bnn-bo:
Users that are interested in bnn-bo are comparing it to the libraries listed below
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆72Updated 2 years ago
- [NeurIPS DBT 2021] HPO-B☆29Updated 8 months ago
- ☆23Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆26Updated last year
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆15Updated last year
- SAASBO: a package for high-dimensional bayesian optimization☆41Updated 3 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆14Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆71Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 8 months ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆54Updated 2 years ago
- ☆8Updated last year
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆9Updated 5 months ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Joint entropy search☆19Updated 2 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆90Updated 4 months ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Updated 3 years ago
- ☆15Updated 2 years ago
- code for BINOCULARS and Multi-Step BO☆11Updated 4 years ago
- a curated list of bayesian optimization tutorials, papers, softwares☆28Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated last year
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆35Updated 4 years ago
- ☆27Updated last month
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆28Updated 5 months ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 2 years ago