MethodsOfMachineLearning / entropy-searchLinks
Entropy Search for Information-Efficient Global Optimization - JMLR v13
☆30Updated 8 years ago
Alternatives and similar repositories for entropy-search
Users that are interested in entropy-search are comparing it to the libraries listed below
Sorting:
- Max-value Entropy Search for Efficient Bayesian Optimization☆78Updated 3 years ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 5 years ago
- Bayesian optimization in high-dimensions via random embedding.☆115Updated 12 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- ☆50Updated last year
- A framework for Bayesian optimization of composite functions.☆15Updated 2 years ago
- Code repository for Ensemble Bayesian Optimization☆54Updated 6 years ago
- Differentiation through cone programs☆108Updated 3 months ago
- Bayesian optimization☆38Updated 5 years ago
- A CVXPY extension for convex-concave programming☆134Updated last week
- Variational Inference by Policy Search☆13Updated 6 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 8 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Updated 8 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆43Updated 4 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Updated 6 years ago
- Input Convex Neural Networks☆302Updated 6 years ago
- The differentiable OSQP solver layer for PyTorch☆64Updated 2 years ago
- Code for doubly stochastic gradients☆25Updated 11 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Deep Gaussian Processes in matlab☆92Updated 4 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆12Updated 2 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago