rmgarnett / active_gp_hyperlearningLinks
Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014).
☆16Updated 7 years ago
Alternatives and similar repositories for active_gp_hyperlearning
Users that are interested in active_gp_hyperlearning are comparing it to the libraries listed below
Sorting:
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 10 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Repository for Chained Gaussian Processes☆14Updated 9 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 7 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- ☆40Updated 6 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- ☆12Updated last year
- Bayesian optimization with the Gaussian process assumption☆30Updated 9 years ago
- ☆20Updated 8 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Active learning toolbox for MATLAB☆47Updated 7 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago