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cs.LG2025
Conformal Prediction as Bayesian Quadrature
Jake C. Snell, Thomas L. Griffiths
As machine learning-based prediction systems are increasingly used in high-stakes situations, it is important to understand how such predictive models will perform upon deployment.…
cs.LG2023
Implicit Maximum a Posteriori Filtering via Adaptive Optimization
Gianluca M. Bencomo, Jake C. Snell, Thomas L. Griffiths
Bayesian filtering approximates the true underlying behavior of a time-varying system by inverting an explicit generative model to convert noisy measurements into state estimates.…