kuleshov / neural-variational-inference
Neural variational inference and learning in undirected graphical models http://www.stanford.edu/~kuleshov/papers/nips2017.pdf
☆17Updated 7 years ago
Alternatives and similar repositories for neural-variational-inference:
Users that are interested in neural-variational-inference are comparing it to the libraries listed below
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 8 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated last year
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Black Box Variational Inference☆14Updated 9 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 5 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 6 months ago
- ☆11Updated 7 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- ☆11Updated 8 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆31Updated 4 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆14Updated 5 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 7 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- A short course on temporal point process and modeling irregular time series☆21Updated 4 years ago
- implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow☆49Updated 2 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 4 years ago
- Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)☆33Updated 6 years ago
- Poisson-Gamma dynamical systems☆16Updated 8 years ago