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David Mimno

Cornell University

11 papers hereh-index 339.7k citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author3
  • last author5

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CL3
  • cs.SI2
  • cs.IR1
affiliations
  • Cornell University
Homepage
same name
  • David Mimno — 15 papers, h 4
  • David Mimno — 5 papers, h 5
  • David Mimno — 2 papers, h 3
  • David Mimno — 2 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122019
most citedTopic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression

298 citations · 686 across the 11 of their papers we have counts for

collaborators
Showing 2012Show all

4 papers · 1 filter

cs.LG2012★ 165 cited

A Practical Algorithm for Topic Modeling with Provable Guarantees

Sanjeev Arora, Rong Ge, Yoni Halpern +5

Topic models provide a useful method for dimensionality reduction and exploratory data analysis in large text corpora. Most approaches to topic model inference have been based on a…

cs.LG2012★ 109 cited

Sparse Stochastic Inference for Latent Dirichlet allocation

David Mimno, Matt Hoffman, David Blei

We present a hybrid algorithm for Bayesian topic models that combines the efficiency of sparse Gibbs sampling with the scalability of online stochastic inference. We used our algor…

cs.IR2012★ 298 cited

Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression

David Mimno, Andrew McCallum

Although fully generative models have been successfully used to model the contents of text documents, they are often awkward to apply to combinations of text data and document meta…

cs.LG2012★ 12 cited

Reconstructing Pompeian Households

David Mimno

A database of objects discovered in houses in the Roman city of Pompeii provides a unique view of ordinary life in an ancient city. Experts have used this collection to study the s…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.