econtal / gp-optimization-python
Implementation of my Bayesian Optimization algorithms
☆12Updated 6 years ago
Alternatives and similar repositories for gp-optimization-python:
Users that are interested in gp-optimization-python are comparing it to the libraries listed below
- Implementation of the X-armed Bandits algorithm, as detailed in the paper, "X-armed Bandits", Bubeck et al., 2011.☆9Updated 6 years ago
- MATLAB implementation of my Bayesian Optimization algorithms☆11Updated 6 years ago
- Simple implementation of GP-UCB algorithm.☆51Updated 8 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 7 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆28Updated 7 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆58Updated 2 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated 2 years ago
- Simple implementation of the CGP-UCB algorithm.☆32Updated 5 years ago
- ☆16Updated 6 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 2 years ago
- ☆47Updated 6 months ago
- ☆28Updated 5 years ago
- A Python 3 Bandit Visualization Package☆11Updated 7 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- gpbo☆25Updated 4 years ago
- A lightweight python library for bandit algorithms☆30Updated 2 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Updated 8 years ago
- Bayesian optimization☆37Updated 5 years ago
- LaTeX source code for the slides☆23Updated 3 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- Additive Gaussian Process Bandits - version 1.0☆26Updated 8 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 8 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆39Updated 5 months ago