The Landmark Selection Method for Multiple Output Prediction

  title={The Landmark Selection Method for Multiple Output Prediction},
  author={Krishnakumar Balasubramanian and Guy Lebanon},
Conditional modeling x 7→ y is a central problem in machine learning. A substantial research effort is devoted to such modeling when x is high dimensional. We consider, instead, the case of a high dimensional y, where x is either low dimensional or high dimensional. Our approach is based on selecting a small subset yL of the dimensions of y, and proceed by modeling (i) x 7→ yL and (ii) yL 7→ y. Composing these two models, we obtain a conditional model x 7→ y that possesses convenient… CONTINUE READING
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Estimation of highdimensional low-rank matrices

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