Karthika Mohan

According to our database, Karthika Mohan authored at least 16 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Causal Inference under Interference and Model Uncertainty.

Chi Zhang, Karthika Mohan, Judea Pearl

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Causal Inference with Non-IID Data using Linear Graphical Models.

Chi Zhang, Karthika Mohan, Judea Pearl

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data.

Karthika Mohan, Judea Pearl

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

Causal Graphs for Missing Data: A Gentle Introduction.

Karthika Mohan

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

2019

Causal Discovery in the Presence of Missing Data.

Ruibo Tu, Cheng Zhang, Paul Ackermann, Karthika Mohan, Hedvig Kjellström, Kun Zhang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Consistent Estimation given Missing Data.

Karthika Mohan, Judea Pearl

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Estimation with Incomplete Data: The Linear Case.

Karthika Mohan, Felix Thömmes, Judea Pearl

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2015

Missing Data as a Causal and Probabilistic Problem.

Ilya Shpitser, Karthika Mohan, Judea Pearl

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data.

Guy Van den Broeck, Karthika Mohan, Arthur Choi, Adnan Darwiche, Judea Pearl

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Missing Data from a Causal Perspective.

Karthika Mohan, Judea Pearl

Proceedings of the Advanced Methodologies for Bayesian Networks, 2015

2014

Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data.

Guy Van den Broeck, Karthika Mohan, Arthur Choi, Judea Pearl

CoRR, 2014

Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data.

Karthika Mohan, Judea Pearl

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the Testability of Models with Missing Data.

Karthika Mohan, Judea Pearl

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Graphical Models for Inference with Missing Data.

Karthika Mohan, Judea Pearl, Jin Tian

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2010

Towards recognition of degraded words by probabilistic parsing.

Karthika Mohan, K. J. Jinesh, C. V. Jawahar

Proceedings of the Seventh Indian Conference on Computer Vision, 2010

A post-processing scheme for malayalam using statistical sub-character language models.

Karthika Mohan, C. V. Jawahar

Proceedings of the Ninth IAPR International Workshop on Document Analysis Systems, 2010