zi-w / GP-ESTLinks
Bayesian optimization with the Gaussian process assumption
☆30Updated 9 years ago
Alternatives and similar repositories for GP-EST
Users that are interested in GP-EST are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆140Updated 8 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆76Updated 3 years ago
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 12 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 8 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- A matlab library for CUR matrix decomposition☆27Updated 7 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
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Updated 11 years ago
- Dropout As A Bayesian Approximation: Code☆204Updated 10 years ago
- Matlab code for the introduction to Gaussian processes, 2008☆30Updated 10 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated 2 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆74Updated 13 years ago
- Deep convolutional gaussian processes.☆80Updated 5 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
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- Code that trains cancer soft-robot networks☆17Updated 8 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆35Updated 8 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago