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Tag: formulation

  • Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference

    Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference arXiv:2511.21223v1 Announce Type: new Abstract: Variational inference (VI) is a cornerstone of modern Bayesian learning, enabling approximate inference in complex models that would otherwise be intractable. However, its formulation depends on expectations and divergences defined through high-dimensional integrals, often rendering analytical treatment impossible and necessitating heavy reliance on…

  • ROCK: A variational formulation for occupation kernel methods in Reproducing Kernel Hilbert Spaces

    ROCK: A variational formulation for occupation kernel methods in Reproducing Kernel Hilbert Spaces arXiv:2503.13791v1 Announce Type: new Abstract: We present a Representer Theorem result for a large class of weak formulation problems. We provide examples of applications of our formulation both in traditional machine learning and numerical methods as well as in new and emerging…