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Keywords:

  • active set;
  • Aspect problem;
  • convex regression;
  • vertex direction method

Abstract.  In this paper, we study an algorithm (which we call the support reduction algorithm) that can be used to compute non-parametric M-estimators in mixture models. The algorithm is compared with natural competitors in the context of convex regression and the ‘Aspect problem’ in quantum physics.