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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 2024Show all

4 papers · 1 filter

stat.ML2024

Multi-armed Bandits with Missing Outcome

Ilia Mahrooghi, Mahshad Moradi, Sina Akbari +1

While significant progress has been made in designing algorithms that minimize regret in online decision-making, real-world scenarios often introduce additional complexities, perha…

cs.LG2024

Fast Proxy Experiment Design for Causal Effect Identification

Sepehr Elahi, Sina Akbari, Jalal Etesami +2

Identifying causal effects is a key problem of interest across many disciplines. The two long-standing approaches to estimate causal effects are observational and experimental (ran…

cs.LG2024

Recursive Causal Discovery

Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari +1

Causal discovery, i.e., learning the causal graph from data, is often the first step toward the identification and estimation of causal effects, a key requirement in numerous scien…

stat.ME2024

Non-linear Triple Changes Estimator for Targeted Policies

Sina Akbari, Negar Kiyavash

The renowned difference-in-differences (DiD) estimator relies on the assumption of 'parallel trends,' which does not hold in many practical applications. To address this issue, the…

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