Reparameterization invariance in approximate Bayesian inference

Reparameterization invariance in approximate Bayesian inference

5 June 2024

Marvin Pfortner

Søren Hauberg

Papers citing "Reparameterization invariance in approximate Bayesian inference"

9 / 9 papers shown

Title
On Local Posterior Structure in Deep Ensembles Mikkel Jordahn Jonas Vestergaard Jensen Mikkel N. Schmidt Michael Riis Andersen UQCV BDL OOD 51 0 0 17 Mar 2025
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 45 1 0 30 Oct 2024
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections M. Miani Hrittik Roy Søren Hauberg UQCV BDL 24 0 0 22 Oct 2024
Debiasing Mini-Batch Quadratics for Applications in Deep Learning Lukas Tatzel Bálint Mucsányi Osane Hackel Philipp Hennig 43 0 0 18 Oct 2024
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks Gael Gendron Michael Witbrock Gillian Dobbie CML BDL OOD 23 0 0 08 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 34 0 0 07 Oct 2024
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning Zhijie Deng Feng Zhou Jun Zhu BDL 42 19 0 23 Oct 2022
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework Zhiyuan Li Tianhao Wang Sanjeev Arora MLT 83 98 0 13 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016