SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

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Deep LearningsurvITE
Overview

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

  • Authors: Alicia Curth*, Changhee Lee*, and Mihaela van der Schaar (* co-first authors)
  • Paper will be publsihed at NeurIPS 2021.
Owner
Changhee Lee, Ph.D. Candidate at UCLA
GitHub Repository
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