ziyuw / remboLinks
Bayesian optimization in high-dimensions via random embedding.
☆116Updated 12 years ago
Alternatives and similar repositories for rembo
Users that are interested in rembo are comparing it to the libraries listed below
Sorting:
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆273Updated 5 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆188Updated 11 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52Updated 7 months ago
- Bayesian Optimization using GPflow☆272Updated 5 years ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 5 years ago
- Bayesian Optimization of Combinatorial Structures☆102Updated 6 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 9 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆80Updated 3 years ago
- Parameterization Framework for parameterized model creation and handling.☆49Updated 6 months ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- ☆67Updated 7 years ago
- ☆50Updated last year
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆109Updated 7 years ago
- Multi-Information Source Optimization☆24Updated 6 years ago
- Bayesian optimization☆38Updated 6 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Updated 6 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- Randomized Dimension Reduction Library☆119Updated 4 years ago
- Kernel structure discovery research code - likely to be unstable☆195Updated 10 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- gpbo☆25Updated 4 years ago
- ☆244Updated 8 years ago
- ☆66Updated 5 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆44Updated 11 years ago