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Algorithms for Learning Graphs in Financial Markets

Algorithms for Learning Graphs in Financial Markets

31 December 2020
José Vinícius de Miranda Cardoso
Jiaxi Ying
Daniel P. Palomar
    CMLAIFin
ArXiv (abs)PDFHTML

Papers citing "Algorithms for Learning Graphs in Financial Markets"

13 / 13 papers shown
Precision Neural Networks: Joint Graph And Relational Learning
Precision Neural Networks: Joint Graph And Relational Learning
Andrea Cavallo
Samuel Rey
Antonio G. Marques
Elvin Isufi
220
0
0
18 Sep 2025
CoVariance Filters and Neural Networks over Hilbert Spaces
CoVariance Filters and Neural Networks over Hilbert Spaces
Claudio Battiloro
Andrea Cavallo
Elvin Isufi
227
0
0
16 Sep 2025
Cramer-Rao Bounds for Laplacian Matrix Estimation
Cramer-Rao Bounds for Laplacian Matrix Estimation
Morad Halihal
T. Routtenberg
H. Vincent Poor
164
0
0
06 Apr 2025
Sparse Covariance Neural Networks
Sparse Covariance Neural Networks
Andrea Cavallo
Zhan Gao
Elvin Isufi
267
6
0
02 Oct 2024
Spatiotemporal Covariance Neural Networks
Spatiotemporal Covariance Neural Networks
Andrea Cavallo
Mohammad Sabbaqi
Elvin Isufi
313
9
0
16 Sep 2024
Online Network Inference from Graph-Stationary Signals with Hidden Nodes
Online Network Inference from Graph-Stationary Signals with Hidden NodesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Andrei Buciulea
Madeline Navarro
Samuel Rey
Santiago Segarra
Antonio G. Marques
GNN
255
3
0
13 Sep 2024
Clusterpath Gaussian Graphical Modeling
Clusterpath Gaussian Graphical Modeling
Daniel J. W. Touw
A. Alfons
Patrick J. F. Groenen
I. Wilms
525
0
0
30 Jun 2024
Polynomial Graphical Lasso: Learning Edges from Gaussian
  Graph-Stationary Signals
Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary SignalsIEEE Transactions on Signal Processing (IEEE TSP), 2024
Andrei Buciulea
Jiaxi Ying
Antonio G. Marques
Daniel P. Palomar
268
11
0
03 Apr 2024
Graph Filters for Signal Processing and Machine Learning on Graphs
Graph Filters for Signal Processing and Machine Learning on GraphsIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
364
134
0
16 Nov 2022
Adaptive Estimation of Graphical Models under Total Positivity
Adaptive Estimation of Graphical Models under Total PositivityInternational Conference on Machine Learning (ICML), 2022
Jiaxi Ying
José Vinícius de Miranda Cardoso
Daniel P. Palomar
274
6
0
27 Oct 2022
Online Inference for Mixture Model of Streaming Graph Signals with
  Non-White Excitation
Online Inference for Mixture Model of Streaming Graph Signals with Non-White ExcitationIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Yiran He
Hoi-To Wai
315
4
0
28 Jul 2022
coVariance Neural Networks
coVariance Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Saurabh Sihag
Gonzalo Mateos
Corey McMillan
Alejandro Ribeiro
399
19
0
31 May 2022
Untrained Graph Neural Networks for Denoising
Untrained Graph Neural Networks for DenoisingIEEE Transactions on Signal Processing (IEEE TSP), 2021
Samuel Rey
Santiago Segarra
Reinhard Heckel
A. Marques
307
34
0
24 Sep 2021
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