| 2018 | NAACL | Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets. | Jack Hessel, David M. Mimno, Lillian Lee |
| 2017 | EACL | Pulling Out the Stops: Rethinking Stopword Removal for Topic Models. | Alexandra Schofield, Mns Magnusson, David M. Mimno |
| 2017 | EMNLP | The strange geometry of skip-gram with negative sampling. | David M. Mimno, Laure Thompson |
| 2017 | EMNLP | Quantifying the Effects of Text Duplication on Semantic Models. | Alexandra Schofield, Laure Thompson, David M. Mimno |
| 2017 | WWW | Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity. | Jack Hessel, Lillian Lee, David M. Mimno |
| 2016 | Group | Machine Learning and Grounded Theory Method: Convergence, Divergence, and Combination. | Michael J. Muller, Shion Guha, Eric P. S. Baumer, David M. Mimno, N. Sadat Shami |
| 2015 | EMNLP | Evaluation methods for unsupervised word embeddings. | Tobias Schnabel, Igor Labutov, David M. Mimno, Thorsten Joachims |
| 2014 | EMNLP | Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference. | David M. Mimno, Moontae Lee |
| 2013 | ICML | A Practical Algorithm for Topic Modeling with Provable Guarantees. | Sanjeev Arora, Rong Ge, Yonatan Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu |
| 2012 | ICML | Sparse stochastic inference for latent Dirichlet allocation. | David M. Mimno, Matthew D. Hoffman, David M. Blei |
| 2011 | EMNLP | Bayesian Checking for Topic Models. | David M. Mimno, David M. Blei |
| 2011 | EMNLP | Optimizing Semantic Coherence in Topic Models. | David M. Mimno, Hanna M. Wallach, Edmund M. Talley, Miriam Leenders, Andrew McCallum |
| 2011 | UAI | Reconstructing Pompeian Households. | David M. Mimno |
| 2009 | EMNLP | Polylingual Topic Models. | David M. Mimno, Hanna M. Wallach, Jason Naradowsky, David A. Smith, Andrew McCallum |
| 2009 | ICML | Evaluation methods for topic models. | Hanna M. Wallach, Iain Murray, Ruslan Salakhutdinov, David M. Mimno |
| 2009 | KDD | Efficient methods for topic model inference on streaming document collections. | Limin Yao, David M. Mimno, Andrew McCallum |
| 2008 | UAI | Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression. | David M. Mimno, Andrew McCallum |
| 2007 | ICML | Mixtures of hierarchical topics with Pachinko allocation. | David M. Mimno, Wei Li, Andrew McCallum |
| 2007 | KDD | Expertise modeling for matching papers with reviewers. | David M. Mimno, Andrew McCallum |