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On the detrimental effect of invariances in the likelihood for
  variational inference

On the detrimental effect of invariances in the likelihood for variational inference

15 September 2022
Richard Kurle
R. Herbrich
Tim Januschowski
Bernie Wang
Jan Gasthaus
ArXivPDFHTML

Papers citing "On the detrimental effect of invariances in the likelihood for variational inference"

4 / 4 papers shown
Title
The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE
The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE
Andrei Chernov
Oleg Novitskij
48
0
0
24 Feb 2025
Variational Inference Failures Under Model Symmetries: Permutation
  Invariant Posteriors for Bayesian Neural Networks
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
Yoav Gelberg
Tycho F. A. van der Ouderaa
Mark van der Wilk
Y. Gal
AAML
37
4
0
10 Aug 2024
Posterior Collapse and Latent Variable Non-identifiability
Posterior Collapse and Latent Variable Non-identifiability
Yixin Wang
David M. Blei
John P. Cunningham
CML
DRL
83
71
0
02 Jan 2023
On the Approximation and Complexity of Deep Neural Networks to Invariant
  Functions
On the Approximation and Complexity of Deep Neural Networks to Invariant Functions
Gao Zhang
Jin-Hui Wu
Shao-Qun Zhang
16
0
0
27 Oct 2022
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