| 2026 | AAAI | Recursive Causal Discovery (Abstract Reprint). | Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash |
| 2026 | EvoCOP | Heuristic Methods for Top-k List Aggregation Under the Generalized Kendall Tau Distance. | Sina Akbari, Abeer Abdelhadi, Adolfo R. Escobedo |
| 2025 | UAI | Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments. | Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar, Negar Kiyavash |
| 2025 | UAI | Multi-armed Bandits with Missing Outcomes. | Ilia Mahrooghi, Mahshad Moradi, Sina Akbari, Negar Kiyavash |
| 2024 | ICML | Triple Changes Estimator for Targeted Policies. | Sina Akbari, Negar Kiyavash |
| 2022 | AAAI | Learning Bayesian Networks in the Presence of Structural Side Information. | Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash |
| 2022 | ICML | Minimum Cost Intervention Design for Causal Effect Identification. | Sina Akbari, Jalal Etesami, Negar Kiyavash |
| 2021 | KDD | A Recursive Markov Boundary-Based Approach to Causal Structure Learning. | Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash |