Birs- 17w5093: Optimal Transport meets Probability, Statistics and Machine Learning

  1. Title:
    Consistency of objective functionals in semi-supervised learning

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  2. Title:
    Inference via low-dimensional couplings

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  3. Title:
    Explanation of variability through optimal transport

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  4. Title:
    Regularization of Barycenters in the Wasserstein Space

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  5. Title:
    Martingale Optimal Transport: at the crossroad of mathematical finance, probability and optimal transport

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  6. Title:
    Numerical computation of martingale optimal transport on real line

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  7. Title:
    Optimal martingale transport

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  8. Title:
    Some algorithmic aspects of semi-discrete optimal transport.

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  9. Title:
    Optimal mass transport and density flows

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  10. Title:
    Lagrangian schemes for Wasserstein gradient flows

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  11. Title:
    The total variation Wasserstein gradient flow

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  12. Title:
    Transport based kernels for Gaussian Process Modeling

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  13. Title:
    Optimal transport and its use in data assimilation and sequential Bayesian inference

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  14. Title:
    Inference in generative models using the Wasserstein distance

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  15. Title:
    Some results about entropic transport

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  16. Title:
    PDE approach to regularization in deep learning

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  17. Title:
    Joint distribution optimal transportation for domain adaptation

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  18. Title:
    New numerical tools for optimal transport and their machine learning applications

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  19. Title:
    On the multi-marginal optimal partial transport and partial barycenter problems

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  20. Title:
    Combined modelling of optimal transport and segmentation

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