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Fréchet means in Wasserstein space

Yoav Zemel

This work studies the problem of statistical inference for Fréchet means in the Wasserstein space of measures on Euclidean spaces,

\mathcal W_2 ( \mathbb R^d )

. This question arises naturally from the problem of separating amplitude and phase variation i ...

EPFL2017

Mean

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On the Strategyproofness of the Geometric Median

3-Dimensional Fluid and White Matter Suppression Magnetic Resonance Imaging Sequence Accelerated With Compressed Sensing Improves Multiple Sclerosis Cervical Spinal Cord Lesion Detection Compared With Standard 2-Dimensional Imaging

Byzantine Fault-Tolerant Distributed Machine Learning with Norm-Based Comparative Gradient Elimination

Finite beta effects on short wavelength ion temperature gradient modes

Fully automated detection, segmentation, and analysis of in vivo RPE single cells

Random time step probabilistic methods for uncertainty quantification in chaotic and geometric numerical integration

Global spatial analysis of toxic emissions to freshwater: operationalization for LCA

Computational Analysis of the Mutual Constraints between Single‐Cell Growth and Division Control Models

MATHICSE Technical Report : Random time step probabilistic methods for uncertainty quantification in chaotic and geometric numerical integration

Fréchet means in Wasserstein space

Finite beta effects on short wavelength ion temperature gradient modes

Fully automated detection, segmentation, and analysis of in vivo RPE single cells

Random time step probabilistic methods for uncertainty quantification in chaotic and geometric numerical integration

Global spatial analysis of toxic emissions to freshwater: operationalization for LCA

On the Strategyproofness of the Geometric Median

Computational Analysis of the Mutual Constraints between Single‐Cell Growth and Division Control Models

3-Dimensional Fluid and White Matter Suppression Magnetic Resonance Imaging Sequence Accelerated With Compressed Sensing Improves Multiple Sclerosis Cervical Spinal Cord Lesion Detection Compared With Standard 2-Dimensional Imaging

Byzantine Fault-Tolerant Distributed Machine Learning with Norm-Based Comparative Gradient Elimination

MATHICSE Technical Report : Random time step probabilistic methods for uncertainty quantification in chaotic and geometric numerical integration

Fréchet means in Wasserstein space