Fateme Jamshidi

According to our database, Fateme Jamshidi authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference.

Fateme Jamshidi, Mohammad ShahverdiKondori, Negar Kiyavash

CoRR, March, 2025

Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding.

Fateme Jamshidi, Sina Akbari, Negar Kiyavash

Proceedings of the Causal Learning and Reasoning, Lausanne, Switzerland, 7-9 May 2025., 2025

2024

On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery.

Fateme Jamshidi, Luca Ganassali, Negar Kiyavash

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Confounded Budgeted Causal Bandits.

Fateme Jamshidi, Jalal Etesami, Negar Kiyavash

Proceedings of the Causal Learning and Reasoning, 2024

2023

Causal Imitability Under Context-Specific Independence Relations.

Fateme Jamshidi, Sina Akbari, Negar Kiyavash

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

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 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