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. 2210.11530
  4. Cited By
Theoretical analysis of deep neural networks for temporally dependent
  observations

Theoretical analysis of deep neural networks for temporally dependent observations

20 October 2022
Mingliang Ma
Abolfazl Safikhani
ArXiv (abs)PDFHTML

Papers citing "Theoretical analysis of deep neural networks for temporally dependent observations"

7 / 7 papers shown
Title
Risk Bounds For Distributional Regression
Risk Bounds For Distributional Regression
Carlos Misael Madrid Padilla
Oscar Hernan Madrid Padilla
S. Chatterjee
91
0
0
14 May 2025
Double Machine Learning for Causal Inference under Shared-State Interference
Double Machine Learning for Causal Inference under Shared-State Interference
Chris Hays
Manish Raghavan
CML
78
0
0
10 Apr 2025
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
89
0
0
29 Oct 2024
Robust deep learning from weakly dependent data
Robust deep learning from weakly dependent data
William Kengne
Modou Wade
OOD
71
2
0
08 May 2024
Penalized deep neural networks estimator with general loss functions
  under weak dependence
Penalized deep neural networks estimator with general loss functions under weak dependence
William Kengne
Modou Wade
66
2
0
10 May 2023
Sparse-penalized deep neural networks estimator under weak dependence
Sparse-penalized deep neural networks estimator under weak dependence
William Kengne
Modou Wade
64
6
0
02 Mar 2023
Excess risk bound for deep learning under weak dependence
Excess risk bound for deep learning under weak dependence
William Kengne
BDL
49
5
0
15 Feb 2023
1