◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

S. Akbari

16 papers hereh-index 8218 citations39 works total

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

author position
  • first author7
  • middle author8

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • stat.ME2
  • cs.AI1
  • cs.DM1
  • econ.EM1
  • stat.ML1
same name
  • S. Akbari — 45 papers, h 30
  • S. Akbari — 12 papers, h 3
  • S. Akbari — 3 papers, h 4
  • S. Akbari — 3 papers, h 2
  • S. Akbari — 2 papers, h 0
  • S. Akbari — 2 papers, h 2

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
20202026
most citedA Recursive Markov Boundary-Based Approach to Causal Structure Learning

4 citations · 9 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 2 cited

Learning Bayesian Networks in the Presence of Structural Side Information

Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi +2

We study the problem of learning a Bayesian network (BN) of a set of variables when structural side information about the system is available. It is well known that learning the st…

cs.LG2021★ 2 cited

Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias

Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami +1

We consider the problem of learning the causal MAG of a system from observational data in the presence of latent variables and selection bias. Constraint-based methods are one of t…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.