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Cited By
Shrinkage Algorithms for MMSE Covariance Estimation
IEEE Transactions on Signal Processing (TSP), 2009
27 July 2009
Yilun Chen
A. Wiesel
Yonina C. Eldar
Alfred Hero
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Papers citing
"Shrinkage Algorithms for MMSE Covariance Estimation"
50 / 56 papers shown
GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling
Arash Jamshidi
Lauri Seppäläinen
Katsiaryna Haitsiukevich
Hoang Phuc Hau Luu
Anton Björklund
Kai Puolamäki
BDL
221
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0
26 Aug 2025
Improving OCR using internal document redundancy
IEEE International Conference on Document Analysis and Recognition (ICDAR), 2025
Diego Belzarena
Seginus Mowlavi
Aitor Artola
Camilo Mariño
Marina Gardella
...
Roy Y. He
Natalia Bottaioli
Boshra Rajaei
Gregory Randall
Jean-Michel Morel
143
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0
20 Aug 2025
Estimating Covariance for Global Minimum Variance Portfolio: A Decision-Focused Learning Approach
Juchan Kim
Inwoo Tae
Yongjae Lee
249
2
0
14 Aug 2025
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry
Antoine Collas
Ce Ju
Nicolas Salvy
Bertrand Thirion
286
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0
20 May 2025
Riemannian Geometry for the classification of brain states with intracortical brain-computer interfaces
Arnau Marin-Llobet
Arnau Manasanch
Sergio Sanchez-Manso
Lluc Tresserras
Xinhe Zhang
Yining Hua
Hao Zhao
Melody Torao-Angosto
M. Sanchez-Vives
Leonardo Dalla Porta
182
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0
07 Apr 2025
Scalable Geometric Learning with Correlation-Based Functional Brain Networks
Scientific Reports (Sci Rep), 2025
Kisung You
Yelim Lee
Hae-Jeong Park
327
2
0
31 Mar 2025
Analysis of a multi-target linear shrinkage covariance estimator
Benoit Oriol
306
0
0
13 Mar 2025
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
Thibault de Surrel
Fabien Lotte
Sylvain Chevallier
Florian Yger
593
3
0
03 Feb 2025
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion
Guanglin Niu
Bo Li
Siling Feng
218
3
0
06 Oct 2024
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
Can Pouliquen
Mathurin Massias
Titouan Vayer
656
2
0
13 Jun 2024
Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimator
Maaz Mahadi
Tarig Ballal
M. Moinuddin
Tareq Y. Al-Naffouri
U. M. Al-Saggaf
207
6
0
31 Jan 2024
Combining multi-spectral data with statistical and deep-learning models for improved exoplanet detection in direct imaging at high contrast
European Signal Processing Conference (EUSIPCO), 2023
O. Flasseur
Théo Bodrito
Julien Mairal
Jean Ponce
M. Langlois
A. Lagrange
104
3
0
21 Jun 2023
Ledoit-Wolf linear shrinkage with unknown mean
Journal of Multivariate Analysis (J. Multivar. Anal.), 2023
Benoit Oriol
Alexandre Miot
259
4
0
14 Apr 2023
Maximum-likelihood Estimators in Physics-Informed Neural Networks for High-dimensional Inverse Problems
Computers and Chemical Engineering (Comput. Chem. Eng.), 2023
G. S. Gusmão
A. Medford
PINN
223
16
0
12 Apr 2023
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
International Conference on Machine Learning (ICML), 2023
Clément Bonet
Benoit Malézieux
A. Rakotomamonjy
Lucas Drumetz
Thomas Moreau
M. Kowalski
Nicolas Courty
430
28
0
10 Mar 2023
Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters
Marloes Arts
J. Frellsen
Wouter Boomsma
242
1
0
27 Feb 2023
Regularization and Optimization in Model-Based Clustering
Pattern Recognition (Pattern Recogn.), 2023
Raphael Araujo Sampaio
J. Garcia
M. Poggi
Thibaut Vidal
163
11
0
05 Feb 2023
Distributional Robustness Bounds Generalization Errors
Shixiong Wang
Haowei Wang
OOD
437
4
0
20 Dec 2022
Shrinkage Estimation of Higher Order Bochner Integrals
Saiteja Utpala
Bharath K. Sriperumbudur
107
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0
13 Jul 2022
Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Thu Nguyen
Quang M. Le
Son N. T. Tu
Binh T. Nguyen
143
1
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26 May 2022
Scalable Regularised Joint Mixture Models
Thomas Lartigue
S. Mukherjee
156
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03 May 2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series
Yuanrong Wang
T. Aste
AI4TS
167
10
0
08 Mar 2022
Unifying Pairwise Interactions in Complex Dynamics
Nature Computational Science (Nat. Comput. Sci.), 2022
Oliver M. Cliff
Annie G. Bryant
J. Lizier
N. Tsuchiya
Ben D. Fulcher
312
73
0
28 Jan 2022
Learning with latent group sparsity via heat flow dynamics on networks
Subhro Ghosh
Soumendu Sundar Mukherjee
AI4CE
197
2
0
20 Jan 2022
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Seungwoo Jeong
Wonjun Ko
A. Mulyadi
Heung-Il Suk
AI4TS
302
14
0
03 Dec 2021
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification
Myriam Bontonou
Nicolas Farrugia
Vincent Gripon
CML
255
0
0
23 Aug 2021
On the interpretation of linear Riemannian tangent space model parameters in M/EEG
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021
Reinmar J. Kobler
J. Hirayama
Lea Hehenberger
G. Müller-Putz
M. Kawanabe
213
11
0
30 Jul 2021
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
IEEE journal of biomedical and health informatics (JBHI), 2021
Fuad M. Noman
C. Ting
Hakmook Kang
Rapharl Phan
Brian D. Boyd
Warren D. Taylor
H. Ombao
170
54
0
27 Jul 2021
Affine-Invariant Integrated Rank-Weighted Depth: Definition, Properties and Finite Sample Analysis
Guillaume Staerman
Pavlo Mozharovskyi
Nathan Huet
347
10
0
21 Jun 2021
Robust learning from corrupted EEG with dynamic spatial filtering
NeuroImage (NeuroImage), 2021
Hubert J. Banville
Sean U. N. Wood
Chris Aimone
Denis A. Engemann
Alexandre Gramfort
249
39
0
27 May 2021
Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven
Zhe Li
A. Tolias
BDL
316
76
0
20 Apr 2021
High-Dimensional Covariance Shrinkage for Signal Detection
Benjamin D. Robinson
Robert Malinas
Alfred Hero
201
1
0
22 Mar 2021
Coupled regularized sample covariance matrix estimator for multiple classes
Elias Raninen
Esa Ollila
171
8
0
09 Nov 2020
Post-selection inference with HSIC-Lasso
International Conference on Machine Learning (ICML), 2020
Tobias Freidling
B. Poignard
Héctor Climente-González
M. Yamada
375
17
0
29 Oct 2020
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
International Conference on Learning Representations (ICLR), 2020
Maruan Al-Shedivat
Jennifer Gillenwater
Eric Xing
Afshin Rostamizadeh
FedML
434
126
0
11 Oct 2020
Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems
IEEE Access (IEEE Access), 2020
D. Dylewsky
D. Barajas-Solano
Tong Ma
A. Tartakovsky
J. Nathan Kutz
AI4TS
305
18
0
08 Oct 2020
Probabilistic Autoencoder
Vanessa Böhm
U. Seljak
UQCV
BDL
DRL
370
32
0
09 Jun 2020
A Compressive Classification Framework for High-Dimensional Data
Muhammad Naveed Tabassum
Esa Ollila
114
0
0
09 May 2020
M-estimators of scatter with eigenvalue shrinkage
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Esa Ollila
Daniel P. Palomar
Frédéric Pascal
91
2
0
12 Feb 2020
Matrix Means and a Novel High-Dimensional Shrinkage Phenomenon
Bernoulli (Bernoulli), 2019
A. Lodhia
Keith D. Levin
Elizaveta Levina
205
3
0
16 Oct 2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Tyler L. Hayes
Christopher Kanan
CLL
438
166
0
04 Sep 2019
Adaptive Shrinkage Estimation for Streaming Graphs
Nesreen Ahmed
N. Duffield
335
2
0
02 Aug 2019
Efficient Covariance Estimation from Temporal Data
Hrayr Harutyunyan
Daniel Moyer
Hrant Khachatrian
Greg Ver Steeg
Aram Galstyan
288
2
0
30 May 2019
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
Qilong Wang
Jiangtao Xie
W. Zuo
Lei Zhang
P. Li
213
119
0
15 Apr 2019
Truncated Gaussian-Mixture Variational AutoEncoder
Qingyu Zhao
N. Honnorat
Ehsan Adeli
K. Pohl
DRL
237
6
0
11 Feb 2019
MOABB: Trustworthy algorithm benchmarking for BCIs
V. Jayaram
A. Barachant
223
219
0
16 May 2018
Multi-Step Knowledge-Aided Iterative ESPRIT for Direction Finding
Silvio F. B. Pinto
R. D. Lamare
104
7
0
01 May 2018
Is Second-order Information Helpful for Large-scale Visual Recognition?
P. Li
Jiangtao Xie
Qilong Wang
W. Zuo
FAtt
385
273
0
23 Mar 2017
Numerical Implementation of the QuEST Function
Olivier Ledoit
Michael Wolf
178
73
0
22 Jan 2016
Convex programming approach to robust estimation of a multivariate Gaussian model
Samuel Balmand
A. Dalalyan
344
8
0
15 Dec 2015
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