BigBayes / SGRLDLinks
Stochastic Gradient Riemannian Langevin Dynamics
☆34Updated 10 years ago
Alternatives and similar repositories for SGRLD
Users that are interested in SGRLD are comparing it to the libraries listed below
Sorting:
- Variational Fourier Features☆86Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- ☆12Updated 2 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- gpbo☆25Updated 4 years ago
- ☆26Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- ☆40Updated 6 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Functional ANOVA☆27Updated 10 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago