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  • Kalainathan, Diviyan; Goudet, Olivier; Dutta, Ritik (Journal of Machine Learning Research, 2020-03)
    This paper presents a new open source Python framework for causal discovery from observational data and domain background knowledge, aimed at causal graph and causal mechanism modeling. The cdt package implements an ...
  • Dutta, Ritik; Gohil, Varun; Jain, Atishay (05-01-20)
  • Yale, Andrew; Dash, Saloni; Dutta, Ritik; Guyon, Isabelle; Pavao, Adrien; Bennett, Kristin P. (Elsevier, 2020-04)
    We develop metrics for measuring the quality of synthetic health data for both education and research. We use novel and existing metrics to capture a synthetic dataset�s resemblance, privacy, utility and footprint. Using ...
  • Yale, Andrew; Dash, Saloni; Dutta, Ritik; Guyon, Isabelle; Pavao, Adrien; Bennett, Kristin P. (2019-04)
  • Dash, Saloni; Dutta, Ritik; Guyon, Isabelle; Pavao, Adrien; Yale, Andrew; Bennett, Kristin P. (Cornell University Library, 2019-11)
    Synthetic medical data which preserves privacy while maintaining utility can be used as an alternative to real medical data, which has privacy costs and resource constraints associated with it. At present, most models focus ...

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