2 citations · 5 across the 4 of their papers we have counts for
4 papers
Robust prediction under missingness shifts
Patrick Rockenschaub, Zhicong Xian, Alireza Zamanian +4
Prediction becomes more challenging with missing covariates. What method is chosen to handle missingness can greatly affect how models perform. In many real-world problems, the bes…
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…
Partially Specified Causal Simulations
A. Zamanian, L. Mareis, N. Ahmidi
Simulation studies play a key role in the validation of causal inference methods. The simulation results are reliable only if the study is designed according to the promised operat…