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Sina Akbari
Sina Akbari
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Title
Cited by
Cited by
Year
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
192021
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
92022
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
32022
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
22024
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
22022
Causal imitability under context-specific independence relations
F Jamshidi, S Akbari, N Kiyavash
Advances in Neural Information Processing Systems 36, 2024
12024
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
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Articles 1–11