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Poster

Learning from Biased Data: A Semi-Parametric Approach

Patrice Bertail · Stephan Clémençon · Yannick Guyonvarch · Nathan NOIRY

Keywords: [ Fairness, Accountability, and Transparency ] [ Theory ] [ Privacy, Anonymity, and Security ] [ Algorithms -> Clustering; Applications -> Hardware and Systems; Applications ]


Abstract: We consider risk minimization problems where the (source) distribution PS of the training observations Z1,,Zn differs from the (target) distribution PT involved in the risk that one seeks to minimize. Under the natural assumption that PS dominates PT, \textit{i.e.} $P_T< \! \!

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