Active Learning for Non-Parametric Choice Models

@article{Susan2022ActiveLF,
  title={Active Learning for Non-Parametric Choice Models},
  author={Fransisca Susan and Negin Golrezaei and Ehsan Emamjomeh-Zadeh and David Kempe},
  journal={ArXiv},
  year={2022},
  volume={abs/2208.03346}
}
We study the problem of actively learning a non-parametric choice model based on consumers’ decisions. We present a negative result showing that such choice models may not be identifiable. To overcome the identifiability problem, we introduce a directed acyclic graph (DAG) representation of the choice model, which in a sense captures as much information about the choice model as could information-theoretically be identified. We then consider the problem of learning an approximation to this DAG… 

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