ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.03369
  4. Cited By
Posterior and variational inference for deep neural networks with heavy-tailed weights

Posterior and variational inference for deep neural networks with heavy-tailed weights

5 June 2024
Ismael Castillo
Paul Egels
    BDL
ArXivPDFHTML

Papers citing "Posterior and variational inference for deep neural networks with heavy-tailed weights"

4 / 4 papers shown
Title
Variational Bayesian Bow tie Neural Networks with Shrinkage
Alisa Sheinkman
Sara Wade
BDL
UQCV
37
0
0
17 Nov 2024
Minimax optimality of deep neural networks on dependent data via
  PAC-Bayes bounds
Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds
Pierre Alquier
William Kengne
29
0
0
29 Oct 2024
Posterior concentrations of fully-connected Bayesian neural networks
  with general priors on the weights
Posterior concentrations of fully-connected Bayesian neural networks with general priors on the weights
Insung Kong
Yongdai Kim
UQCV
BDL
27
1
0
21 Mar 2024
Contraction rates and projection subspace estimation with Gaussian
  process priors in high dimension
Contraction rates and projection subspace estimation with Gaussian process priors in high dimension
Elie Odin
F. Bachoc
A. Lagnoux
19
0
0
06 Mar 2024
1