Learning Bayesian Networks in the Presence of Structural Side Information. - Ehsan Mokhtarian; Sina Akbari; Fateme Jamshidi; Jalal Etesami; Negar Kiyavash (AAAI, 2022)

Causal Effect Identification with Context-specific Independence Relations of Control Variables. - Ehsan Mokhtarian; Fateme Jamshidi; Jalal Etesami; Negar Kiyavash (AISTATS, 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)

Causal Effect Identification in Uncertain Causal Networks. - Sina Akbari; Fateme Jamshidi; Ehsan Mokhtarian; Matthew J. Vowels; Jalal Etesami; Negar Kiyavash (NeurIPS, 2023)

Causal Imitability Under Context-Specific Independence Relations. - Fateme Jamshidi; Sina Akbari; Negar Kiyavash (NeurIPS, 2023)

Confounded Budgeted Causal Bandits. - Fateme Jamshidi; Jalal Etesami; Negar Kiyavash (CLeaR, 2024)

On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery. - Fateme Jamshidi; Luca Ganassali; Negar Kiyavash (ICML, 2024)

Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding. - Fateme Jamshidi; Sina Akbari; Negar Kiyavash (CLeaR, 2025)

Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference. - Fateme Jamshidi; Mohammad ShahverdiKondori; Negar Kiyavash (CoRR, 2025)