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Karthika Mohan
Karthika Mohan
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Graphical models for inference with missing data
K Mohan
Advances in Neural Information Processing Systems 26 (NIPS 2013) 26, 2013
2032013
Graphical models for processing missing data
K Mohan, J Pearl
Journal of the American Statistical Association 116 (534), 1023-1037, 2021
1962021
Graphical representation of missing data problems
F Thoemmes, K Mohan
Structural Equation Modeling: A Multidisciplinary Journal 22 (4), 631-642, 2015
862015
Causal discovery in the presence of missing data
R Tu, C Zhang, P Ackermann, K Mohan, H Kjellström, K Zhang
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
732019
Missing Data as a Causal and Probabilistic Problem.
I Shpitser, K Mohan, J Pearl
UAI, 802-811, 2015
622015
Graphical models for recovering probabilistic and causal queries from missing data
K Mohan, J Pearl
Advances in Neural Information Processing Systems (Neurips-2014), 2014
61*2014
On the testability of models with missing data
K Mohan, J Pearl
Artificial Intelligence and Statistics, 643-650, 2014
442014
Efficient algorithms for Bayesian network parameter learning from incomplete data
GV Broeck, K Mohan, A Choi, J Pearl
arXiv preprint arXiv:1411.7014, 2014
382014
Estimation with incomplete data: The linear case
K Mohan, F Thoemmes, J Pearl
Proceedings of the International Joint Conferences on Artificial …, 2018
342018
Recoverability and testability of missing data: Introduction and summary of results
J Pearl, K Mohan
Available at SSRN 2343873, 2013
282013
Missing data as a causal inference problem
K Mohan, J Pearl, T Jin
Proceedings of the neural information processing systems conference (nips), 2013
172013
Causal inference with non-IID data using linear graphical models
C Zhang, K Mohan, J Pearl
Advances in Neural Information Processing Systems 35, 13214-13225, 2022
122022
An efficient method for bayesian network parameter learning from incomplete data
K Mohan, G Van den Brock, A Choi, J Pearl
Causal Modeling and Machine Learning Workshop 951, 2014, 2014
72014
Causal Inference under Interference and Model Uncertainty
C Zhang, K Mohan, J Pearl
Conference on Causal Learning and Reasoning, 371-385, 2023
32023
Causal Graphs for Missing Data: A Gentle Introduction
K Mohan
Probabilistic and Causal Inference: The Works of Judea Pearl, 655-666, 2022
12022
Do Finetti: On Causal Effects for Exchangeable Data
S Guo, C Zhang, K Mohan, F Huszár, B Schölkopf
arXiv preprint arXiv:2405.18836, 2024
2024
Causal Inference with Non-IID Data under Model Uncertainty
C Zhang, K Mohan, J Pearl
Proceedings of Machine Learning Research vol TBD 1, 14, 2023
2023
On Quantifying Bias in Causal Effects When Data Are Non-IID
C Zhang, K Mohan, J Pearl
2022
Graphical Models for
R Probabilistic, M Data, K Mohan, J Pearl
Probabilistic and Causal Inference: The Works of Judea Pearl, 413, 2022
2022
Transportability and the Bias-Variance Tradeoff
K Mohan, JW Vaughan, J Pearl
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