zi-w / GP-EST
Bayesian optimization with the Gaussian process assumption
☆30Updated 8 years ago
Alternatives and similar repositories for GP-EST:
Users that are interested in GP-EST are comparing it to the libraries listed below
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 2 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆137Updated 7 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- Additive Gaussian Process Bandits - version 1.0☆26Updated 8 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Updated 11 years ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆14Updated 6 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 7 years ago
- A matlab library for CUR matrix decomposition☆26Updated 7 years ago
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆45Updated 8 years ago
- Bayesian optimization in high-dimensions via random embedding.☆113Updated 11 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 10 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 8 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆28Updated 7 years ago
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆37Updated 10 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 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
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆94Updated 7 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 6 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated 2 years ago
- A collection of Gaussian process models☆30Updated 7 years ago