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 of the training observations differs from the (target) distribution involved in the risk that one seeks to minimize. Under the natural assumption that dominates , \textit{i.e.} $P_T< \! \!
Chat is not available.