Recursive causal structure learning in the presence of latent variables and selection bias S Akbari, E Mokhtarian, AE Ghassami, N Kiyavash Advances in Neural Information Processing Systems 34, 10119-10130, 2021 | 19 | 2021 |
A recursive markov boundary-based approach to causal structure learning E Mokhtarian, S Akbari, AE Ghassami, N Kiyavash The KDD'21 Workshop on Causal Discovery, 26-54, 2021 | 13* | 2021 |
Learning Bayesian networks in the presence of structural side information E Mokhtarian, S Akbari, F Jamshidi, J Etesami, N Kiyavash Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7814-7822, 2022 | 9 | 2022 |
Causal discovery via monotone triangular transport maps S Akbari, L Ganassali, N Kiyavash NeurIPS 2023 Workshop Optimal Transport and Machine Learning, 2023 | 6* | 2023 |
A free lunch with influence functions? an empirical evaluation of influence functions for average treatment effect estimation MJ Vowels, S Akbari, NC Camgoz, R Bowden Transactions on Machine Learning Research, 2022 | 6* | 2022 |
Minimum cost intervention design for causal effect identification S Akbari, J Etesami, N Kiyavash International Conference on Machine Learning, 258-289, 2022 | 3 | 2022 |
Causal effect identification in uncertain causal networks S Akbari, F Jamshidi, E Mokhtarian, M Vowels, J Etesami, N Kiyavash Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Causal discovery in probabilistic networks with an identifiable causal effect S Akbari, F Jamshidi, E Mokhtarian, MJ Vowels, J Etesami, N Kiyavash arXiv preprint arXiv:2208.04627, 2022 | 2 | 2022 |
Causal imitability under context-specific independence relations F Jamshidi, S Akbari, N Kiyavash Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Recursive Causal Discovery E Mokhtarian, S Elahi, S Akbari, N Kiyavash arXiv preprint arXiv:2403.09300, 2024 | | 2024 |
Non-linear Triple Changes Estimator for Targeted Policies S Akbari, N Kiyavash arXiv preprint arXiv:2402.12583, 2024 | | 2024 |