BigBayes / SGRLD
Stochastic Gradient Riemannian Langevin Dynamics
☆33Updated 9 years ago
Alternatives and similar repositories for SGRLD:
Users that are interested in SGRLD are comparing it to the libraries listed below
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆11Updated last year
- ☆40Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- ☆11Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- ☆26Updated 6 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆10Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago