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Communication Dans Un Congrès Année : 2020

Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent

Résumé

A fundamental concept in statistics is the concept of Fréchet sample mean. While its computation is a simple task in Euclidian space, the same does not hold for less structured spaces such as the space of graphs, where concepts of distance or mid-point can be hard to compute. We present some work in progress regarding new distance measures and new algorithms to compute the Fréchet mean in the space of Graphs.
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Dates et versions

hal-02895832 , version 1 (10-07-2020)

Identifiants

  • HAL Id : hal-02895832 , version 1

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Nicolas Boria, Benjamin Negrevergne, Florian Yger. Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent. ESANN 2020, 2020, Bruges, France. ⟨hal-02895832⟩
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