Ehsan Mokhtarian

According to our database, Ehsan Mokhtarian authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Recursive Causal Discovery.

Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash

CoRR, 2024

s-ID: Causal Effect Identification in a Sub-population.

Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

CausalCite: A Causal Formulation of Paper Citations.

Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf

CoRR, 2023

Causal Effect Identification in Uncertain Causal Networks.

Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables.

Ehsan Mokhtarian, Mohammadsadegh Khorasani, Jalal Etesami, Negar Kiyavash

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect.

Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash

CoRR, 2022

A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models.

Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash

CoRR, 2022

Revisiting the general identifiability problem.

Yaroslav Kivva, Ehsan Mokhtarian, Jalal Etesami, Negar Kiyavash

Proceedings of the Uncertainty in Artificial Intelligence, 2022

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

Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Learning Bayesian Networks in the Presence of Structural Side Information.

Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Recursive Markov Boundary-Based Approach to Causal Structure Learning.

Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash

Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021

2020

A Recursive Markov Blanket-Based Approach to Causal Structure Learning.

Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash

CoRR, 2020