Ehsan Mokhtarian

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Causal Networks

Causal Structure

Independence Relations

Top Venues

Publications

Ishan Agrawal, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Mrinmaya Sachan, Bernhard Schölkopf
CausalCite: A Causal Formulation of Paper Citations. ACL (Findings) (2024)
Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash
Recursive Causal Discovery. CoRR (2024)
Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash
s-ID: Causal Effect Identification in a Sub-population. AAAI (2024)
Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash, Matthias Grossglauser
Causal Effect Identification in a Sub-Population with Latent Variables. CoRR (2024)
Ehsan Mokhtarian, Mohammadsadegh Khorasani, Jalal Etesami, Negar Kiyavash
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables. AAAI (2023)
Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
Causal Effect Identification in Uncertain Causal Networks. NeurIPS (2023)
Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash
s-ID: Causal Effect Identification in a Sub-Population. CoRR (2023)
Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf
CausalCite: A Causal Formulation of Paper Citations. CoRR (2023)
Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models. CoRR (2022)
Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect. CoRR (2022)
Yaroslav Kivva, Ehsan Mokhtarian, Jalal Etesami, Negar Kiyavash
Revisiting the general identifiability problem. UAI (2022)
Yaroslav Kivva, Ehsan Mokhtarian, Jalal Etesami, Negar Kiyavash
Revisiting the General Identifiability Problem. CoRR (2022)
Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Causal Effect Identification with Context-specific Independence Relations of Control Variables. AISTATS (2022)
Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Learning Bayesian Networks in the Presence of Structural Side Information. AAAI (2022)
Ehsan Mokhtarian, Mohammadsadegh Khorasani, Jalal Etesami, Negar Kiyavash
Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables. CoRR (2022)
Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Learning Bayesian Networks in the Presence of Structural Side Information. CoRR (2021)
Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias. NeurIPS (2021)
Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash
A Recursive Markov Boundary-Based Approach to Causal Structure Learning. CD@KDD (2021)
Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias. CoRR (2021)
Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Causal Effect Identification with Context-specific Independence Relations of Control Variables. CoRR (2021)
Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash
A Recursive Markov Blanket-Based Approach to Causal Structure Learning. CoRR (2020)