
Highly Scalable and Provably Accurate Classification in Poincare Balls
Many highdimensional and largevolume data sets of practical relevance ...
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Linear Classifiers in Mixed Constant Curvature Spaces
Embedding methods for mixedcurvature spaces are powerful techniques for...
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Geometry of Comparisons
Many data analysis problems can be cast as distance geometry problems in...
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Hyperbolic Distance Matrices
Hyperbolic space is a natural setting for mining and visualizing data wi...
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Learning SchattenVon Neumann Operators
We study the learnability of a class of compact operators known as Schat...
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Puoya Tabaghi
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