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Robert Shi

1 paper hereh-index 255 citations2 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • stat.ML1

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most citedGeneralization Bounds for Sparse Random Feature Expansions

35 citations · 35 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ML2021★ 35 cited

Generalization Bounds for Sparse Random Feature Expansions

Abolfazl Hashemi, Hayden Schaeffer, Robert Shi +3

Random feature methods have been successful in various machine learning tasks, are easy to compute, and come with theoretical accuracy bounds. They serve as an alternative approach…

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