shaobohan / VariationalGaussianCopulaLinks
Matlab Code for Variational Gaussian Copula Inference
☆16Updated 9 years ago
Alternatives and similar repositories for VariationalGaussianCopula
Users that are interested in VariationalGaussianCopula are comparing it to the libraries listed below
Sorting:
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- Variational Inference in Gaussian Mixture Model☆60Updated 4 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 7 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Sampling via Moment Sharing☆11Updated 10 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- ☆29Updated 6 years ago
- Implementation of learning a Gaussian mixture model using tensor decomposition.☆15Updated 8 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Updated 11 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆94Updated 7 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- ☆40Updated 6 years ago
- This is all the codes used in "Large Scale Online Kernel Learning"☆11Updated 8 years ago
- Variational Gaussian Process State-Space Models☆25Updated 9 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 11 months ago
- ☆21Updated 2 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 7 years ago
- Deep Gaussian Processes in matlab☆92Updated 4 years ago
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 8 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago