ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.07615
  4. Cited By
Sparse space-time models: Concentration Inequalities and Lasso
v1v2v3 (latest)

Sparse space-time models: Concentration Inequalities and Lasso

Annales De L Institut Henri Poincare-probabilites Et Statistiques (AIHP), 2018
19 July 2018
G. Ost
Patricia Reynaud-Bouret
ArXiv (abs)PDFHTML

Papers citing "Sparse space-time models: Concentration Inequalities and Lasso"

6 / 6 papers shown
Community detection for binary graphical models in high dimension
Community detection for binary graphical models in high dimension
Julien Chevallier
G. Ost
343
0
0
23 Nov 2024
CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration
CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration
Sophie Jaffard
Samuel Vaiter
Patricia Reynaud-Bouret
388
1
0
29 May 2024
General oracle inequalities for a penalized log-likelihood criterion
  based on non-stationary data
General oracle inequalities for a penalized log-likelihood criterion based on non-stationary data
Julien Aubert
Luc Lehéricy
Patricia Reynaud-Bouret
270
0
0
17 May 2024
Provable local learning rule by expert aggregation for a Hawkes network
Provable local learning rule by expert aggregation for a Hawkes networkInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Sophie Jaffard
Samuel Vaiter
A. Muzy
Patricia Reynaud-Bouret
250
2
0
17 Apr 2023
Concentration inequalities and optimal number of layers for stochastic
  deep neural networks
Concentration inequalities and optimal number of layers for stochastic deep neural networksIEEE Access (IEEE Access), 2022
Michele Caprio
Sayan Mukherjee
BDL
449
1
0
22 Jun 2022
Event-scheduling algorithms with Kalikow decomposition for simulating
  potentially infinite neuronal networks
Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networksSN Computer Science (SN Comp. Sci.), 2019
T. Phi
A. Muzy
Patricia Reynaud-Bouret
233
6
0
23 Oct 2019
1
Page 1 of 1