Mohan, Karthika

12 publications

NeurIPS 2025 Agents Robust to Distribution Shifts Learn Causal World Models Even Under Mediation Matteo Ceriscioli, Karthika Mohan

NeurIPS 2024 Do Finetti: On Causal Effects for Exchangeable Data Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszár, Bernhard Schölkopf

CLeaR 2023 Causal Inference Under Interference and Model Uncertainty Chi Zhang, Karthika Mohan, Judea Pearl

NeurIPS 2022 Causal Inference with Non-IID Data Using Linear Graphical Models Chi Zhang, Karthika Mohan, Judea Pearl

AISTATS 2019 Causal Discovery in the Presence of Missing Data Ruibo Tu, Cheng Zhang, Paul Ackermann, Karthika Mohan, Hedvig Kjellström, Kun Zhang

PGM 2018 Consistent Estimation Given Missing Data Karthika Mohan, Judea Pearl

IJCAI 2018 Estimation with Incomplete Data: The Linear Case Karthika Mohan, Felix Thömmes, Judea Pearl

UAI 2015 Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data Guy Van den Broeck, Karthika Mohan, Arthur Choi, Adnan Darwiche, Judea Pearl

UAI 2015 Missing Data as a Causal and Probabilistic Problem Ilya Shpitser, Karthika Mohan, Judea Pearl

NeurIPS 2014 Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data Karthika Mohan, Judea Pearl

AISTATS 2014 On the Testability of Models with Missing Data Karthika Mohan, Judea Pearl

NeurIPS 2013 Graphical Models for Inference with Missing Data Karthika Mohan, Judea Pearl, Jin Tian