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researcher

Samuel J. Gershman

3 papers here

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

author position
  • first author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.ML1
ORCID 0000-0002-6546-3298

identity via Semantic Scholar / OpenAlex

activity
20112024
most citedNonparametric variational inference

44 citations · 46 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2024★ 1 cited

Do Mice Grok? Glimpses of Hidden Progress During Overtraining in Sensory Cortex

Tanishq Kumar, Blake Bordelon, Cengiz Pehlevan +2

Does learning of task-relevant representations stop when behavior stops changing? Motivated by recent theoretical advances in machine learning and the intuitive observation that hu…

cs.LG2012★ 44 cited

Nonparametric variational inference

Samuel Gershman, Matt Hoffman, David Blei

Variational methods are widely used for approximate posterior inference. However, their use is typically limited to families of distributions that enjoy particular conjugacy proper…

stat.ML2011★ 1 cited

A Tutorial on Bayesian Nonparametric Models

Samuel J. Gershman, David M. Blei

A key problem in statistical modeling is model selection, how to choose a model at an appropriate level of complexity. This problem appears in many settings, most prominently in ch…

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