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Finale Doshi‐Velez

2 papers here

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • stat.ML1
ORCID 0000-0003-2886-3898

identity via Semantic Scholar / OpenAlex

most citedCorrelated Non-Parametric Latent Feature Models

30 citations · 34 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2014★ 4 cited

Graph-Sparse LDA: A Topic Model with Structured Sparsity

Finale Doshi-Velez, Byron Wallace, Ryan Adams

Originally designed to model text, topic modeling has become a powerful tool for uncovering latent structure in domains including medicine, finance, and vision. The goals for the m…

cs.LG2012★ 30 cited

Correlated Non-Parametric Latent Feature Models

Finale Doshi-Velez, Zoubin Ghahramani

We are often interested in explaining data through a set of hidden factors or features. When the number of hidden features is unknown, the Indian Buffet Process (IBP) is a nonparam…

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