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researcher

D. Goldfarb

32 papers hereh-index 5118.1k citations146 works total

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

author position
  • first author8
  • middle author10
  • last author14

Across the 32 of 32 papers where every author was matched, so the position is known.

fields
  • math.OC19
  • cs.LG9
  • math.NA2
  • stat.ML2
same name
  • D. Goldfarb — 2 papers, h 46

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
20092023
most citedRobust Low-rank Tensor Recovery: Models and Algorithms

425 citations · 1.1k across the 32 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.LG2021

Tensor Normal Training for Deep Learning Models

Yi Ren, Donald Goldfarb

Despite the predominant use of first-order methods for training deep learning models, second-order methods, and in particular, natural gradient methods, remain of interest because…

cs.LG2021★ 1 cited

Kronecker-factored Quasi-Newton Methods for Deep Learning

Yi Ren, Achraf Bahamou, Donald Goldfarb

Second-order methods have the capability of accelerating optimization by using much richer curvature information than first-order methods. However, most are impractical for deep le…

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