blei-lab/publications blei-lab/publications

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Repository Details

The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).

More Repositories

1

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Jupyter Notebook
4,834
star
2

onlineldavb

Online variational Bayes for latent Dirichlet allocation (LDA)
Python
300
star
3

dtm

This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
Shell
196
star
4

lda-c

This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.
C
166
star
5

hdp

Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
C++
150
star
6

ctr

Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.
C++
147
star
7

online-hdp

Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm determines the number of topics.
Python
144
star
8

causal-text-embeddings

Software and data for "Using Text Embeddings for Causal Inference"
Python
122
star
9

deconfounder_tutorial

Jupyter Notebook
87
star
10

hlda

This implements hierarchical latent Dirichlet allocation, a topic model that finds a hierarchy of topics. The structure of the hierarchy is determined by the data.
JavaScript
77
star
11

class-slda

Implements supervised topic models with a categorical response.
C++
64
star
12

variational-smc

Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
Python
63
star
13

deep-exponential-families

Deep exponential families (DEFs)
C++
56
star
14

DynamicPoissonFactorization

Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time according to user-item ratings.
C++
49
star
15

turbotopics

Turbo topics find significant multiword phrases in topics.
Python
46
star
16

ars-reparameterization

Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
Jupyter Notebook
38
star
17

zero-inflated-embedding

Code for the icml paper "zero inflated exponential family embedding"
Python
28
star
18

context-selection-embedding

Context Selection for Embedding Models
Python
27
star
19

ctm-c

This implements variational inference for the correlated topic model.
C
21
star
20

deconfounder_public

Jupyter Notebook
18
star
21

treeffuser

Treeffuser is an easy-to-use package for probabilistic prediction on tabular data with tree-based diffusion models.
Jupyter Notebook
13
star
22

factorial-network-models

Discussion of Durante et al for JSM 2017. Includes factorial network model generalization.
Jupyter Notebook
9
star
23

markovian-score-climbing

Python
8
star
24

diln

This implements the discrete infinite logistic normal, a Bayesian nonparametric topic model that finds correlated topics.
C
6
star
25

poisson-influence-factorization

Jupyter Notebook
4
star
26

Riken_tutorial

Jupyter Notebook
4
star
27

circuitry

Python
3
star