Finite Sample Prediction and Recovery Bounds for Ordinal Embedding

NeurIPS 2016 Lalit JainKevin JamiesonRobert Nowak

The goal of ordinal embedding is to represent items as points in a low-dimensional Euclidean space given a set of constraints in the form of distance comparisons like "item $i$ is closer to item $j$ than item $k$". Ordinal constraints like this often come from human judgments... (read more)

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