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Wide stochastic networks: Gaussian limit and PAC-Bayesian training
v1v2v3 (latest)

Wide stochastic networks: Gaussian limit and PAC-Bayesian training

International Conference on Algorithmic Learning Theory (ALT), 2021
17 June 2021
Eugenio Clerico
George Deligiannidis
Arnaud Doucet
ArXiv (abs)PDFHTML

Papers citing "Wide stochastic networks: Gaussian limit and PAC-Bayesian training"

9 / 9 papers shown
Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian
  Theory
Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory
Eric Hanchen Jiang
Yasi Zhang
Zhi Zhang
Yixin Wan
Andrew Lizarraga
Shufan Li
Ying Nian Wu
DiffM
417
4
0
25 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
443
4
0
29 Oct 2024
On the Convergence Analysis of Over-Parameterized Variational
  Autoencoders: A Neural Tangent Kernel Perspective
On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel PerspectiveMachine-mediated learning (ML), 2024
Li Wang
Wei Huang
DRL
323
0
0
09 Sep 2024
A note on regularised NTK dynamics with an application to PAC-Bayesian
  training
A note on regularised NTK dynamics with an application to PAC-Bayesian training
Eugenio Clerico
Benjamin Guedj
397
2
0
20 Dec 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size
  Fit All?
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?Neural Information Processing Systems (NeurIPS), 2023
Haitao Mao
Zhikai Chen
Wei Jin
Haoyu Han
Yao Ma
Tong Zhao
Neil Shah
Shucheng Zhou
505
52
0
02 Jun 2023
On Rademacher Complexity-based Generalization Bounds for Deep Learning
On Rademacher Complexity-based Generalization Bounds for Deep Learning
Lan V. Truong
MLT
532
21
0
08 Aug 2022
Generalization Error Bounds on Deep Learning with Markov Datasets
Generalization Error Bounds on Deep Learning with Markov DatasetsNeural Information Processing Systems (NeurIPS), 2021
Lan V. Truong
521
11
0
23 Dec 2021
Conditionally Gaussian PAC-Bayes
Conditionally Gaussian PAC-BayesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Eugenio Clerico
George Deligiannidis
Arnaud Doucet
314
11
0
22 Oct 2021
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
714
272
0
21 Oct 2021
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