misokg / NIPS2017Links
Multi-Information Source Optimization
☆24Updated 6 years ago
Alternatives and similar repositories for NIPS2017
Users that are interested in NIPS2017 are comparing it to the libraries listed below
Sorting:
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 6 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 7 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆30Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆76Updated 3 years ago
- ☆30Updated 2 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆14Updated 6 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆43Updated 3 years ago
- Adaptive MCMC and CMA-ES Python code☆14Updated 5 years ago
- ☆51Updated 11 months ago
- A hands-on tutorial on supervised learning with Gaussian processes☆37Updated 5 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Updated 8 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Reference implementation of Optimistic Expected Improvement.☆49Updated 5 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- ☆28Updated 6 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- gpbo☆25Updated 4 years ago