ntienvu / ICDM2016_B3OLinks
Released code for ICDM 2016 Budgeted Batch Bayesian Optimization
☆10Updated 7 years ago
Alternatives and similar repositories for ICDM2016_B3O
Users that are interested in ICDM2016_B3O are comparing it to the libraries listed below
Sorting:
- Max-value Entropy Search for Efficient Bayesian Optimization☆80Updated 3 years ago
- Code repository for Ensemble Bayesian Optimization☆57Updated 6 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆53Updated 6 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆30Updated 8 years ago
- ☆221Updated last year
- ☆50Updated last year
- ☆23Updated 3 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- Bayesian neural network package☆156Updated 4 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆274Updated 6 years ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 5 years ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆15Updated 7 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Updated 9 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆34Updated 3 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Updated 6 years ago
- A framework for Bayesian optimization of composite functions.☆15Updated 3 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Updated 3 years ago
- Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method☆27Updated 7 months ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 8 years ago
- Bayesian Optimization of Combinatorial Structures☆102Updated 6 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Updated 6 months ago
- Random Fourier Features☆50Updated 8 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆67Updated last year
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- ☆14Updated 6 years ago