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researcher

A. Mara

13 papers hereh-index 8259 citations20 works total

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

author position
  • first author5
  • middle author7
  • last author1

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.SI4
  • cs.LG3
  • stat.ML2

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedSemi-supervised Learning in Network-Structured Data via Total Variation Minimization

38 citations · 98 across the 11 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2017

Recovery Conditions and Sampling Strategies for Network Lasso

Alexandru Mara, Alexander Jung

The network Lasso is a recently proposed convex optimization method for machine learning from massive network structured datasets, i.e., big data over networks. It is a variant of…

stat.ML2017

When is Network Lasso Accurate?

Alexander Jung, Nguyen Tran Quang, Alexandru Mara

The "least absolute shrinkage and selection operator" (Lasso) method has been adapted recently for networkstructured datasets. In particular, this network Lasso method allows to le…

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