yanshuaicao / gp_cholqrLinks
code for "Efficient Optimization for Sparse Gaussian Process Regression"
☆21Updated 11 years ago
Alternatives and similar repositories for gp_cholqr
Users that are interested in gp_cholqr are comparing it to the libraries listed below
Sorting:
- multivariate Gaussian process regression and multivariate Student-t process regression☆74Updated 4 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆140Updated 8 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆76Updated 3 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.☆28Updated 7 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Matlab code for the introduction to Gaussian processes, 2008☆30Updated 10 years ago
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆40Updated 7 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 9 years ago
- Streaming sparse Gaussian process approximations☆67Updated 2 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 2 years ago
- An up-to-date version of GPML library.☆37Updated 6 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 8 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- Bayesian System IDentification☆28Updated 7 years ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Updated 10 years ago
- MATLAB implementation of standard particle filter, auxiliary particle filter, mixture particle filter, and out-of-sequence particle filte…☆36Updated 5 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 7 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☆185Updated 11 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- In this repository, all the Matlab codes, used for developing my Master Thesis: "Polynomial Chaos Theory: Application to the stability of…☆14Updated 6 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆93Updated 7 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"☆17Updated 10 years ago
- Gaussian process code in C++ including some implementations of GP-LVM and IVM.☆70Updated 3 years ago
- C++ implementation of Gaussian process regression☆80Updated 9 years ago