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☆92Updated 4 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆142Updated 8 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 8 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Active learning toolbox for MATLAB☆46Updated 8 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆78Updated 3 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- Bayesian optimization in high-dimensions via random embedding.☆115Updated 12 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 7 years ago
- Multi-task Gaussian Process☆44Updated 10 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- A framework for Bayesian optimization of composite functions.☆15Updated 2 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆48Updated 8 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- A matlab library for CUR matrix decomposition☆27Updated 8 years ago
- Generative Adversarial Nets for Matlab☆36Updated 8 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
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago
- Bayesian GPLVM in MATLAB and R☆76Updated 8 years ago
- What My Deep Model Doesn't Know...☆116Updated 10 years ago
- Code that trains cancer soft-robot networks☆17Updated 9 years ago
- Input Convex Neural Networks☆303Updated 6 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆27Updated 6 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 2 years ago