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Causal Network Inference via Group Sparse Regularization

Causal Network Inference via Group Sparse Regularization

3 June 2011
Andrew K. Bolstad
B. V. Veen
Robert D. Nowak
    CML
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Papers citing "Causal Network Inference via Group Sparse Regularization"

12 / 12 papers shown
Title
Estimation of a Causal Directed Acyclic Graph Process using
  Non-Gaussianity
Estimation of a Causal Directed Acyclic Graph Process using Non-Gaussianity
A. Einizade
S. H. Sardouie
CML
29
0
0
24 Nov 2022
Sparsity in Continuous-Depth Neural Networks
Sparsity in Continuous-Depth Neural Networks
H. Aliee
Till Richter
Mikhail Solonin
I. Ibarra
Fabian J. Theis
Niki Kilbertus
29
10
0
26 Oct 2022
Online Graph Topology Learning from Matrix-valued Time Series
Online Graph Topology Learning from Matrix-valued Time Series
Yiye Jiang
Jérémie Bigot
Sofian Maabout
AI4TS
25
3
0
16 Jul 2021
Blind identification of stochastic block models from dynamical
  observations
Blind identification of stochastic block models from dynamical observations
Michael T. Schaub
Santiago Segarra
J. Tsitsiklis
16
33
0
22 May 2019
Learning graphs from data: A signal representation perspective
Learning graphs from data: A signal representation perspective
Xiaowen Dong
D. Thanou
Michael G. Rabbat
P. Frossard
29
374
0
03 Jun 2018
SILVar: Single Index Latent Variable Models
SILVar: Single Index Latent Variable Models
Jonathan Mei
José M. F. Moura
15
24
0
09 May 2017
Learning conditional independence structure for high-dimensional
  uncorrelated vector processes
Learning conditional independence structure for high-dimensional uncorrelated vector processes
Nguyen Tran Quang
A. Jung
17
7
0
13 Sep 2016
Validity of time reversal for testing Granger causality
Validity of time reversal for testing Granger causality
I. Winkler
Danny Panknin
Daniel Bartz
K. Müller
Stefan Haufe
14
57
0
25 Sep 2015
Signal Processing on Graphs: Causal Modeling of Unstructured Data
Signal Processing on Graphs: Causal Modeling of Unstructured Data
Jonathan Mei
José M. F. Moura
CML
AI4TS
25
191
0
28 Feb 2015
Graphical LASSO Based Model Selection for Time Series
Graphical LASSO Based Model Selection for Time Series
A. Jung
Gabor Hannak
N. Goertz
28
64
0
05 Oct 2014
Compressive Nonparametric Graphical Model Selection For Time Series
Compressive Nonparametric Graphical Model Selection For Time Series
A. Jung
Reinhard Heckel
Helmut Bölcskei
F. Hlawatsch
CML
53
18
0
13 Nov 2013
Support Recovery for the Drift Coefficient of High-Dimensional
  Diffusions
Support Recovery for the Drift Coefficient of High-Dimensional Diffusions
José Bento
M. Ibrahimi
35
6
0
19 Aug 2013
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