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Generalization Error Bounds on Deep Learning with Markov Datasets
v1v2v3v4 (latest)

Generalization Error Bounds on Deep Learning with Markov Datasets

Neural Information Processing Systems (NeurIPS), 2021
23 December 2021
Lan V. Truong
ArXiv (abs)PDFHTML

Papers citing "Generalization Error Bounds on Deep Learning with Markov Datasets"

7 / 7 papers shown
Generalization Bounds for Equivariant Networks on Markov Data
Generalization Bounds for Equivariant Networks on Markov Data
Hui Li
Zhiguo Wang
Bohui Chen
Li Sheng
265
0
0
01 Mar 2025
Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints
Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints
Dániel Rácz
Mihaly Petreczky
Bálint Daróczy
535
1
0
30 May 2024
Global Convergence Rate of Deep Equilibrium Models with General Activations
Global Convergence Rate of Deep Equilibrium Models with General Activations
Lan V. Truong
492
3
0
11 Feb 2023
Theoretical analysis of deep neural networks for temporally dependent
  observations
Theoretical analysis of deep neural networks for temporally dependent observationsNeural Information Processing Systems (NeurIPS), 2022
Mingliang Ma
Abolfazl Safikhani
242
19
0
20 Oct 2022
Improved Estimation of Relaxation Time in Non-reversible Markov Chains
Improved Estimation of Relaxation Time in Non-reversible Markov ChainsThe Annals of Applied Probability (Ann. Appl. Probab.), 2022
Geoffrey Wolfer
A. Kontorovich
655
12
0
01 Sep 2022
On Rademacher Complexity-based Generalization Bounds for Deep Learning
On Rademacher Complexity-based Generalization Bounds for Deep Learning
Lan V. Truong
MLT
533
21
0
08 Aug 2022
Generalization Bounds on Multi-Kernel Learning with Mixed Datasets
Generalization Bounds on Multi-Kernel Learning with Mixed Datasets
Lan V. Truong
205
2
0
15 May 2022
1
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