tbroderick / bnp_tutorial
☆29Updated 7 years ago
Alternatives and similar repositories for bnp_tutorial:
Users that are interested in bnp_tutorial are comparing it to the libraries listed below
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 10 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Edward content including papers, posters, and talks☆90Updated 4 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- ☆46Updated 11 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆24Updated 8 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Poisson-Gamma dynamical systems☆16Updated 8 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 5 years ago
- This implements variational inference for the correlated topic model.☆21Updated 10 years ago
- ☆11Updated last year
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017☆36Updated 6 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated last week
- Vector-Space Markov Random Fields☆21Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated 2 years ago
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated 11 months ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago