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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
142021
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
92021
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
82022
Minimum cost intervention design for causal effect identification
S Akbari, J Etesami, N Kiyavash
International Conference on Machine Learning, 258-289, 2022
32022
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
32022
Learning Causal Graphs via Monotone Triangular Transport Maps
S Akbari, L Ganassali
arXiv preprint arXiv:2305.18210, 2023
22023
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
22022
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
A recursive markov blanket-based approach to causal structure learning
E Mokhtarian, S Akbari, A Ghassami, N Kiyavash
arXiv preprint arXiv:2010.04992, 2020
22020
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, ...
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