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04/23/2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
It is important in computational imaging to understand the uncertainty o...
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06/21/2022
Ensembling over Classifiers: a Bias-Variance Perspective
Ensembles are a straightforward, remarkably effective method for improvi...
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02/08/2022
Understanding the bias-variance tradeoff of Bregman divergences
This paper builds upon the work of Pfau (2013), which generalized the bi...
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04/23/2021
Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems
Bayesian optimization (BO) is a popular paradigm for global optimization...
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02/09/2018
