Jed A. Duersch

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I'm primarily interested in understanding and improving various aspects of efficient learning algorithms. How do we optimize the information extracted from training data to obtain credible prediction uncertainty quantification? How do we ensure that robust predictive parameter domains are discoverable within a computationally-feasible time frame? How do we capture model uncertainties that dominate robust posterior-predictive integrals?