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 | 14 | 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 | 9 | 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 | 8 | 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 |
A free lunch with influence functions? Improving neural network estimates with concepts from semiparametric statistics MJ Vowels, S Akbari, NC Camgoz, R Bowden arXiv preprint arXiv:2202.09096, 2022 | 3 | 2022 |
Learning Causal Graphs via Monotone Triangular Transport Maps S Akbari, L Ganassali arXiv preprint arXiv:2305.18210, 2023 | 2 | 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 | 2 | 2022 |
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 |
A recursive markov blanket-based approach to causal structure learning E Mokhtarian, S Akbari, A Ghassami, N Kiyavash arXiv preprint arXiv:2010.04992, 2020 | 2 | 2020 |
Causal Effect Identification in Uncertain Causal Networks S Akbari, F Jamshidi, E Mokhtarian, MJ Vowels, J Etesami, N Kiyavash Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
Causal Imitability Under Context-Specific Independence Relations F Jamshidi, S Akbari, N Kiyavash arXiv preprint arXiv:2306.00585, 2023 | | 2023 |
BAN S Akbari, PH Borges de Melo, A Devenoge, S Elahi, J Etesami, ... | | |