Should We Learn Most Likely Functions or Parameters?

Should We Learn Most Likely Functions or Parameters?

27 November 2023

Tim G. J. Rudner

Sanyam Kapoor

Andrew Gordon Wilson

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Papers citing "Should We Learn Most Likely Functions or Parameters?"

5 / 5 papers shown

Title
Variational Deep Learning via Implicit Regularization Jonathan Wenger Beau Coker Juraj Marusic John P. Cunningham OOD UQCV BDL 31 0 0 26 May 2025
Preferential Normalizing Flows Petrus Mikkola Luigi Acerbi Arto Klami 110 2 0 11 Oct 2024
Can a Confident Prior Replace a Cold Posterior? Martin Marek Brooks Paige Pavel Izmailov UQCV BDL 61 4 0 02 Mar 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 131 35 0 01 Feb 2024
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification L. J. L. Lopez Tim G. J. Rudner Karan Singhal 66 3 0 17 Nov 2023