activity
20202023
most citedLearning Bayesian Networks in the Presence of Structural Side Information

2 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Causal Imitability Under Context-Specific Independence Relations

Fateme Jamshidi, Sina Akbari, Negar Kiyavash

Drawbacks of ignoring the causal mechanisms when performing imitation learning have recently been acknowledged. Several approaches both to assess the feasibility of imitation and t…

cs.LG2022★ 1 cited

Causal Effect Identification in Uncertain Causal Networks

Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian +3

Causal identification is at the core of the causal inference literature, where complete algorithms have been proposed to identify causal queries of interest. The validity of these…

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

Causal Effect Identification with Context-specific Independence Relations of Control Variables

Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami +1

We study the problem of causal effect identification from observational distribution given the causal graph and some context-specific independence (CSI) relations. It was recently…

cs.HC2020

Accessible Computer Science for K-12 Students with Hearing Impairments

Meenakshi Das, Daniela Marghitu, Fatemeh Jamshidi +2

An inclusive science, technology, engineering and mathematics (STEM) workforce is needed to maintain America's leadership in the scientific enterprise. Increasing the participation…