294 citations · 1.2k across the 73 of their papers we have counts for
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Evaluation of Active Feature Acquisition Methods for Static Feature Settings
Henrik von Kleist, Alireza Zamanian, Ilya Shpitser +1
Active feature acquisition (AFA) agents, crucial in domains like healthcare where acquiring features is often costly or harmful, determine the optimal set of features for a subsequ…
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings
Henrik von Kleist, Alireza Zamanian, Ilya Shpitser +1
Machine learning methods often assume that input features are available at no cost. However, in domains like healthcare, where acquiring features could be expensive or harmful, it…
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
Zixiao Wang, AmirEmad Ghassami, Ilya Shpitser
We consider the task of identifying and estimating a parameter of interest in settings where data is missing not at random (MNAR). In general, such parameters are not identified wi…
An Introduction to Causal Inference Methods for Observational Human-Robot Interaction Research
Jaron J. R. Lee, Gopika Ajaykumar, Ilya Shpitser +1
Quantitative methods in Human-Robot Interaction (HRI) research have primarily relied upon randomized, controlled experiments in laboratory settings. However, such experiments are n…
When does the ID algorithm fail?
Ilya Shpitser
The ID algorithm solves the problem of identification of interventional distributions of the form p(Y | do(a)) in graphical causal models, and has been formulated in a number of wa…
Graphical Models of Entangled Missingness
Ranjani Srinivasan, Rohit Bhattacharya, Razieh Nabi +2
Despite the growing interest in causal and statistical inference for settings with data dependence, few methods currently exist to account for missing data in dependent data settin…