trevorcampbell / sda-bnp
Streaming, Distributed, Asynchronous Bayesian Nonparametric Inference
☆12Updated 8 years ago
Related projects: ⓘ
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆32Updated 10 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- ☆11Updated 8 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- ☆11Updated 6 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆19Updated 4 years ago
- ☆12Updated last year
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆69Updated 11 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 4 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆28Updated 6 years ago
- Code for the paper "A Kernel Test of Goodness of Fit" by Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton☆24Updated 8 years ago
- Dirichlet Process K-means☆46Updated 3 months ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆40Updated 10 years ago
- ☆20Updated last year
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆31Updated 8 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 7 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- Variational Information Maximization for Feature Selection☆11Updated 8 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 7 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆10Updated 4 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 4 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆64Updated 4 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 8 years ago
- Python package to sample from determinantal point processes☆18Updated 9 years ago
- This implements variational inference for the correlated topic model.☆21Updated 9 years ago