Presenter: Enter the speaker’s name, title, and institution at the top of the event Description: Optimal transport (OT) provides a principled way to match, compare, and interpolate distributions, but its […]
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Presenter: Enter the speaker’s name, title, and institution at the top of the event Description: Optimal transport (OT) provides a principled way to match, compare, and interpolate distributions, but its […] |
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Presenter: Chrysoula Tsogka, Professor, Applied Mathematics, UC Merced Description: In a strongly scattering medium, waves undergo multiple scattering that is usually seen as an obstacle to imaging. Time-reversal experiments show […] |
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Presenter: Edric Tam, Warren Alpert Fellow in AI and Computational Biology, Department of Biomedical Data Science, Stanford University Description: A longstanding question in Bayesian analysis concerns the role of randomization. We introduce randomization posteriors, a class of generalized Bayesian updates obtained by averaging over an auxiliary randomization law. A particularly relevant instance assigns random weights […] |
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