Sotabase

Career

· Professor of Statistics and Computer Science, Columbia University2014–
· Associate Professor, Princeton University2006–2014
· PhD in Computer Science, University of California, Berkeley2004–
· B.S. in Computer Science and Mathematics, Brown University1997–

Publications (375)

Latent Dirichlet Allocation
2009
38,844
cited
Probabilistic topic models
Communications of the ACM · 2012
6,501
cited
Variational Inference: A Review for Statisticians
arXiv.org · 2016
5,379
cited
Hierarchical Dirichlet Processes
2006
3,983
cited
Stochastic variational inference
Journal of machine learning research · 2012
2,762
cited
Reading Tea Leaves: How Humans Interpret Topic Models
Neural Information Processing Systems · 2009
2,457
cited
Mixed Membership Stochastic Blockmodels
Neural Information Processing Systems · 2007
2,185
cited
Matching Words and Pictures
Journal of machine learning research · 2003
1,814
cited
Supervised Topic Models
Neural Information Processing Systems · 2007
1,805
cited
Online Learning for Latent Dirichlet Allocation
Neural Information Processing Systems · 2010
1,747
cited
Collaborative topic modeling for recommending scientific articles
Knowledge Discovery and Data Mining · 2011
1,698
cited
A correlated topic model of Science
2007
1,555
cited
Modeling annotated data
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2003
1,267
cited
Hierarchical Topic Models and the Nested Chinese Restaurant Process
Neural Information Processing Systems · 2003
1,219
cited
Black Box Variational Inference
International Conference on Artificial Intelligence and Statistics · 2013
1,206
cited
Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of U.S. government arts funding
2013
947
cited
Topic Modeling in Embedding Spaces
Transactions of the Association for Computational Linguistics · 2019
772
cited
Automatic Differentiation Variational Inference
Journal of machine learning research · 2016
771
cited
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
JACM · 2007
718
cited
Stochastic Gradient Descent as Approximate Bayesian Inference
Journal of machine learning research · 2017
675
cited
Sotabase
David Blei | Researcher Profile | Sotabase | Sotabase