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researcher

R. Mazumder

80 papers hereh-index 265.9k citations98 works total

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

author position
  • first author14
  • middle author17
  • last author49

Across the 80 of 80 papers where every author was matched, so the position is known.

fields
  • stat.ML21
  • cs.LG19
  • math.OC12
  • stat.ME10
  • stat.CO8
  • math.ST4
same name
  • R. Mazumder — 7 papers, h 15
  • R. Mazumder — 2 papers, h 16
  • R. Mazumder — 2 papers, h 13
  • R. Mazumder — 2 papers, h 13
  • R. Mazumder — 2 papers, h 6
  • R. Mazumder — 1 paper, h 31

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
20082026
most citedMatrix Completion and Low-Rank SVD via Fast Alternating Least Squares

307 citations · 693 across the 70 of their papers we have counts for

collaborators
Showing 2018 · math.OCShow all

3 papers · 2 filters

math.OC2018★ 3 cited

Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods

Robert M. Freund, Paul Grigas, Rahul Mazumder

Logistic regression is one of the most popular methods in binary classification, wherein estimation of model parameters is carried out by solving the maximum likelihood (ML) optimi…

math.OC2018★ 1 cited

Using L1-relaxation and integer programming to obtain dual bounds for sparse PCA

Santanu S. Dey, Rahul Mazumder, Guanyi Wang

Principal component analysis (PCA) is one of the most widely used dimensionality reduction tools in data analysis. The PCA direction is a linear combination of all features with no…

math.OC2018

Computation of the Maximum Likelihood estimator in low-rank Factor Analysis

Koulik Khamaru, Rahul Mazumder

Factor analysis, a classical multivariate statistical technique is popularly used as a fundamental tool for dimensionality reduction in statistics, econometrics and data science. E…

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