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1410.0342
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Generalized Low Rank Models
1 October 2014
Madeleine Udell
Corinne Horn
R. Zadeh
Stephen P. Boyd
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Papers citing
"Generalized Low Rank Models"
50 / 111 papers shown
Algorithms for Boolean Matrix Factorization using Integer Programming and Heuristics
Christos Kolomvakis
Thomas Bobille
A. Vandaele
Nicolas Gillis
113
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Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom Severity
Anastasiia Tokareva
J. Dineley
Zoe Firth
Pauline Conde
F. Matcham
...
Richard J. B. Dobson
V. A. Narayan
Matthew Hotopf
N. Cummins
RADAR-CNS Consortium
169
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0
10 Nov 2025
Robustness of Minimum-Volume Nonnegative Matrix Factorization under an Expanded Sufficiently Scattered Condition
Giovanni Barbarino
Nicolas Gillis
Subhayan Saha
175
0
0
06 Nov 2025
Disciplined Biconvex Programming
Hao Zhu
Joschka Boedecker
167
2
0
03 Nov 2025
Integration of TinyML and LargeML: A Survey of 6G and Beyond
Thai-Hoc Vu
Ngo Hoang Tu
Thien Huynh-The
Kyungchun Lee
Sunghwan Kim
Miroslav Voznak
Quoc-Viet Pham
AILaw
AI4TS
341
7
0
20 May 2025
An Accelerated Alternating Partial Bregman Algorithm for ReLU-based Matrix Decomposition
Journal of Scientific Computing (J. Sci. Comput.), 2025
Qingsong Wang
Yunfei Qu
Chunfeng Cui
Deren Han
363
3
0
04 Mar 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Hanwen Zhong
Jiaxin Chen
Yutong Zhang
Di Huang
Yunhong Wang
MoE
373
0
0
12 Jan 2025
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning
Sergio Rozada
Hoi-To Wai
Antonio G. Marques
OffRL
272
2
0
10 Jan 2025
Learning Counterfactual Distributions via Kernel Nearest Neighbors
Kyuseong Choi
Jacob Feitelberg
Caleb Chin
Anish Agarwal
Raaz Dwivedi
OOD
OffRL
848
2
0
17 Oct 2024
Tailed Low-Rank Matrix Factorization for Similarity Matrix Completion
Changyi Ma
Runsheng Yu
Xiao Chen
Youzhi Zhang
273
0
0
29 Sep 2024
Parameter inference from a non-stationary unknown process
Kieran S. Owens
Ben D. Fulcher
AI4TS
295
2
0
12 Jul 2024
Federated PCA on Grassmann Manifold for IoT Anomaly Detection
Tung-Anh Nguyen
Long Tan Le
Tuan Dung Nguyen
Wei Bao
Suranga Seneviratne
Choong Seon Hong
N. H. Tran
249
27
0
10 Jul 2024
Matrix Low-Rank Approximation For Policy Gradient Methods
Sergio Rozada
A. Marques
333
3
0
27 May 2024
Matrix Low-Rank Trust Region Policy Optimization
Sergio Rozada
Antonio G. Marques
384
1
0
27 May 2024
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization
Maryam Abdolali
Giovanni Barbarino
Nicolas Gillis
190
6
0
29 Mar 2024
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
Jérémie Bigot
Issa-Mbenard Dabo
Camille Male
569
5
0
29 Mar 2024
Privacy-Preserving Distributed Nonnegative Matrix Factorization
Ehsan Lari
Reza Arablouei
Stefan Werner
PICV
242
1
0
27 Mar 2024
Multi-Task Dense Prediction via Mixture of Low-Rank Experts
Yuqi Yang
Peng-Tao Jiang
Qibin Hou
Hao Zhang
Jinwei Chen
Yue Liu
MoE
382
71
0
26 Mar 2024
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
Kyoungseok Jang
Chicheng Zhang
Kwang-Sung Jun
349
5
0
17 Feb 2024
Checking the Sufficiently Scattered Condition using a Global Non-Convex Optimization Software
Nicolas Gillis
Robert Luce
313
3
0
08 Feb 2024
Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness
Journal of Computational And Graphical Statistics (JCGS), 2024
Xiaojun Mao
Hengfang Wang
Zhonglei Wang
Shu Yang
178
8
0
06 Feb 2024
Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices
Tetiana Parshakova
Trevor Hastie
Eric Darve
Stephen P. Boyd
256
3
0
30 Oct 2023
Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing
Social Science Research Network (SSRN), 2023
Junhui Cai
Ran Chen
Martin J. Wainwright
Linda H. Zhao
283
7
0
14 Sep 2023
Algorithms for Boolean Matrix Factorization using Integer Programming
International Workshop on Machine Learning for Signal Processing (MLSP), 2023
Christos Kolomvakis
A. Vandaele
Nicolas Gillis
206
4
0
17 May 2023
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging
IEEE Transactions on Computational Imaging (IEEE Trans. Comput. Imaging), 2023
Berk Iskender
M. Klasky
Y. Bresler
476
4
0
07 Apr 2023
Archetypal Analysis++: Rethinking the Initialization Strategy
Sebastian Mair
Jens Sjölund
508
2
0
31 Jan 2023
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks
IEEE Conference on Computer Communications (INFOCOM), 2022
Tung Nguyen
Jiayu He
Long Tan Le
Wei Bao
Nguyen H. Tran
271
18
0
23 Dec 2022
Sparse PCA With Multiple Components
Ryan Cory-Wright
J. Pauphilet
568
3
0
29 Sep 2022
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Florian Becker
A. Smilde
E. Acar
233
10
0
01 Sep 2022
Signal Decomposition Using Masked Proximal Operators
Foundations and Trends® in Signal Processing (FTSP), 2022
Bennet E. Meyers
Stephen P. Boyd
502
15
0
18 Feb 2022
Machine Learning in Aerodynamic Shape Optimization
Progress in Aerospace Sciences (Prog. Aerosp. Sci.), 2022
Ji-chao Li
Xiaosong Du
J. Martins
AI4CE
397
297
0
15 Feb 2022
Graph-based Neural Acceleration for Nonnegative Matrix Factorization
Jens Sjölund
Maria Bånkestad
GNN
322
13
0
01 Feb 2022
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Sergio Rozada
Santiago Paternain
A. Marques
364
21
0
21 Jan 2022
Fair and efficient contribution valuation for vertical federated learning
International Conference on Learning Representations (ICLR), 2022
Zhenan Fan
Huang Fang
Zirui Zhou
Jian Pei
Jian Pei
M. Friedlander
Yong Zhang
FedML
TDI
303
33
0
07 Jan 2022
Asymptotics of
ℓ
2
\ell_2
ℓ
2
Regularized Network Embeddings
A. Davison
311
0
0
05 Jan 2022
Is Attention Better Than Matrix Decomposition?
International Conference on Learning Representations (ICLR), 2021
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
384
171
0
09 Sep 2021
Sparse Logistic Tensor Decomposition for Binary Data
Jianhao Zhang
Yoonkyung Lee
157
0
0
27 Jun 2021
Low-rank State-action Value-function Approximation
European Signal Processing Conference (EUSIPCO), 2021
Sergio Rozada
Victor M. Tenorio
A. Marques
OffRL
202
11
0
18 Apr 2021
A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization
Computational optimization and applications (COA), 2021
L. Hien
D. Phan
Nicolas Gillis
209
25
0
10 Feb 2021
Low Rank Forecasting
Shane T. Barratt
Yining Dong
Stephen P. Boyd
AI4TS
307
5
0
29 Jan 2021
HePPCAT: Probabilistic PCA for Data with Heteroscedastic Noise
IEEE Transactions on Signal Processing (IEEE TSP), 2021
David Hong
Kyle Gilman
Laura Balzano
Jeffrey A. Fessler
652
24
0
10 Jan 2021
Deconstructing word embedding algorithms
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Kian Kenyon-Dean
Edward Newell
Jackie C.K. Cheung
241
8
0
12 Nov 2020
A Nonconvex Framework for Structured Dynamic Covariance Recovery
Katherine Tsai
Mladen Kolar
Oluwasanmi Koyejo
495
3
0
11 Nov 2020
Paying down metadata debt: learning the representation of concepts using topic models
International Conference on AI in Finance (ICAIF), 2020
Jiahao Chen
Manuela Veloso
209
1
0
09 Oct 2020
Deep matrix factorizations
Computer Science Review (CSR), 2020
Pierre De Handschutter
Nicolas Gillis
Xavier Siebert
BDL
559
61
0
01 Oct 2020
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints
Operational Research (OR), 2020
Dimitris Bertsimas
Ryan Cory-Wright
J. Pauphilet
417
22
0
22 Sep 2020
An Information-Theoretic Approach to Persistent Environment Monitoring Through Low Rank Model Based Planning and Prediction
Elizabeth A. Ricci
Madeleine Udell
Ross A. Knepper
174
0
0
02 Sep 2020
Sketching Datasets for Large-Scale Learning (long version)
Rémi Gribonval
Antoine Chatalic
Nicolas Keriven
V. Schellekens
Laurent Jacques
P. Schniter
214
7
0
04 Aug 2020
Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms
Maryam Abdolali
Nicolas Gillis
343
29
0
22 Jul 2020
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula
Yuxuan Zhao
Madeleine Udell
465
25
0
18 Jun 2020
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