nphdang / Bandit-BOLinks
Bayesian Optimization for Categorical and Continuous Inputs
☆21Updated 5 years ago
Alternatives and similar repositories for Bandit-BO
Users that are interested in Bandit-BO are comparing it to the libraries listed below
Sorting:
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆53Updated 6 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆67Updated last year
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Updated 6 months ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Updated 3 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation☆10Updated 4 years ago
- [NeurIPS DBT 2021] HPO-B☆41Updated 3 months ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆34Updated 3 years ago
- ☆23Updated 3 years ago
- ☆221Updated last year
- Bayesian neural network package☆156Updated 4 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆69Updated 3 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆57Updated 3 years ago
- Dynamic causal Bayesian optimisation☆40Updated 2 years ago
- Collection of hyperparameter optimization benchmark problems☆160Updated 8 months ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆109Updated 2 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Updated 11 months ago
- Code repository for Ensemble Bayesian Optimization☆57Updated 6 years ago
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Updated 4 years ago
- Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)☆32Updated 5 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆39Updated 4 months ago
- Bayesian optimization with conformal coverage guarantees☆29Updated 3 years ago
- Code accompanying https://arxiv.org/abs/1802.02219☆19Updated 3 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆20Updated 6 months ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆39Updated 4 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆54Updated 2 months ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆21Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 3 years ago
- Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method☆27Updated 7 months ago