facebookresearch / bo_pr
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
☆73Updated 2 years ago
Alternatives and similar repositories for bo_pr:
Users that are interested in bo_pr are comparing it to the libraries listed below
- Bayesian Neural Network Surrogates for Bayesian Optimization☆50Updated 11 months ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆16Updated last year
- ☆24Updated 2 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆54Updated 2 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆35Updated 5 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆43Updated 3 years ago
- ☆51Updated 9 months ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 2 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆14Updated 3 years ago
- Bayesian Optimisation for String Spaces☆24Updated 3 years ago
- Benchmark functions for Bayesian optimization☆33Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆90Updated 2 weeks ago
- ☆27Updated 2 months ago
- ☆8Updated last year
- Baselines for Model-Based Optimization☆53Updated 3 years ago
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Updated 3 years ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 3 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆26Updated last year
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆11Updated 2 months ago
- ☆44Updated 2 years ago
- ☆30Updated 7 months ago
- Bayesian neural network package☆147Updated 3 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago