Function-Space Regularization in Neural Networks: A Probabilistic
Perspective

Function-Space Regularization in Neural Networks: A Probabilistic Perspective

28 December 2023

Tim G. J. Rudner

Sanyam Kapoor

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Papers citing "Function-Space Regularization in Neural Networks: A Probabilistic Perspective"

13 / 13 papers shown

Title
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Xiang Yuan Jun Shu Deyu Meng Zongben Xu AAML 94 0 0 31 Aug 2025
Models of Heavy-Tailed Mechanistic Universality Liam Hodgkinson Zhichao Wang Michael W. Mahoney 237 3 0 04 Jun 2025
Observation Noise and Initialization in Wide Neural Networks Sergio Calvo-Ordoñez Jonathan Plenk Richard Bergna Alvaro Cartea Jose Miguel Hernandez-Lobato Konstantina Palla Kamil Ciosek 244 3 0 03 Feb 2025
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction Qidong Yang Weicheng Zhu Joseph Keslin L. Zanna Tim G. J. Rudner Carlos Fernandez-Granda BDL UQCV AI4TS 236 0 0 30 Oct 2024
$Sparse Deep Learning Models with the $\ell_1$ Regularization$ Sparse Deep Learning Models with the $\ell_1$ Regularization Lixin Shen Rui Wang Yuesheng Xu Mingsong Yan 134 0 0 05 Aug 2024
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks Tristan Cinquin Kushagra Pandey UQCV BDL 421 2 0 06 Jun 2024
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks Yunzhen Feng Tim G. J. Rudner Nikolaos Tsilivis Julia Kempe AAML BDL 283 3 0 27 Apr 2024
Spectral Convolutional Conditional Neural Processes Peiman Mohseni Nick Duffield 241 4 0 19 Apr 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 344 56 0 01 Feb 2024
Should We Learn Most Likely Functions or Parameters?Neural Information Processing Systems (NeurIPS), 2023 Shikai Qiu Tim G. J. Rudner Sanyam Kapoor Andrew Gordon Wilson 108 11 0 27 Nov 2023
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification L. J. L. Lopez Tim G. J. Rudner Karan Singhal 175 4 0 17 Nov 2023
A PAC-Bayesian Perspective on the Interpolating Information Criterion Liam Hodgkinson Christopher van der Heide Roberto Salomone Fred Roosta Michael W. Mahoney 255 2 0 13 Nov 2023
Incorporating Unlabelled Data into Bayesian Neural Networks Mrinank Sharma Tom Rainforth Yee Whye Teh Vincent Fortuin SSL UQCV BDL 267 10 0 04 Apr 2023