blei-lab / publicationsLinks
The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).
☆72Updated 8 years ago
Alternatives and similar repositories for publications
Users that are interested in publications are comparing it to the libraries listed below
Sorting:
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- lecture notes for probabilistic topic models using ipython notebook☆22Updated 10 years ago
- Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.☆149Updated 8 years ago
- Implements supervised topic models with a categorical response.☆64Updated 3 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 9 years ago
- Bernoulli Embeddings for Text☆83Updated 7 years ago
- 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
- Notes, code, and other resoruces for auditing the course CS224d: Deep Learning for Natural Language Processing☆50Updated 10 years ago
- Active learning for Big Data☆25Updated 6 years ago
- Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…☆48Updated 9 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆39Updated 9 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Code to accompany "A Neural Framework for Generalized Topic Models"☆67Updated 6 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆82Updated 3 years ago
- ☆30Updated 7 years ago
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk☆38Updated 9 years ago
- Social Poisson Factorization☆26Updated 6 years ago
- Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"☆33Updated 10 years ago
- An implementation of Mikolov's word2vec in Python using Theano and Lasagne.☆37Updated 7 years ago
- Stochastic gradient routines for Theano☆102Updated 7 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- Bayesian Poisson tensor factorization☆59Updated 7 months ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Poisson matrix factorization and autotagger☆43Updated 9 years ago
- ☆58Updated 9 years ago
- Poisson-Gamma dynamical systems☆17Updated 8 years ago