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Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian
  Prior Models
v1v2 (latest)

Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models

IEEE Transactions on Signal Processing (IEEE TSP), 2017
8 August 2017
Linxiao Yang
Jun Fang
Huiping Duan
Hongbin Li
B. Zeng
ArXiv (abs)PDFHTML

Papers citing "Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models"

18 / 18 papers shown
Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating
Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating
Ahmad Alsheikh
Andreas Fischer
AI4CE
157
0
0
06 Oct 2025
On properties of fractional posterior in generalized reduced-rank
  regression
On properties of fractional posterior in generalized reduced-rank regression
The Tien Mai
337
7
0
27 Apr 2024
Concentration properties of fractional posterior in 1-bit matrix
  completion
Concentration properties of fractional posterior in 1-bit matrix completion
The Tien Mai
338
11
0
13 Apr 2024
A Bayesian Methodology for Estimation for Sparse Canonical Correlation
A Bayesian Methodology for Estimation for Sparse Canonical Correlation
Siddhesh Kulkarni
Subhadip Pal
Jeremy T. Gaskins
119
0
0
30 Oct 2023
Correlating sparse sensing for large-scale traffic speed estimation: A
  Laplacian-enhanced low-rank tensor kriging approach
Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approachTransportation Research Part C: Emerging Technologies (TRC), 2022
Tong Nie
Guoyang Qin
Yunpeng Wang
Jian Sun
341
39
0
21 Oct 2022
Variational Bayesian inference for CP tensor completion with side
  information
Variational Bayesian inference for CP tensor completion with side informationLobachevskii Journal of Mathematics (Lobachevskii J. Math.), 2022
S. Budzinskiy
N. Zamarashkin
229
2
0
24 Jun 2022
Optimal quasi-Bayesian reduced rank regression with incomplete response
Optimal quasi-Bayesian reduced rank regression with incomplete response
The Tien Mai
Pierre Alquier
316
2
0
17 Jun 2022
Uncertainty-Based Non-Parametric Active Peak Detection
Uncertainty-Based Non-Parametric Active Peak DetectionInternational Symposium on Information Theory (ISIT), 2022
Praneeth Narayanamurthy
U. Mitra
159
0
0
05 May 2022
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior
  Analysis and Tuning-free Inference
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free InferenceSignal Processing (Signal Process.), 2022
Y. Chen
Lei Cheng
Yik-Chung Wu
BDL
400
24
0
18 Mar 2022
PAC-Bayesian Matrix Completion with a Spectral Scaled Student Prior
PAC-Bayesian Matrix Completion with a Spectral Scaled Student Prior
The Tien Mai
272
2
0
16 Apr 2021
Simulation comparisons between Bayesian and de-biased estimators in
  low-rank matrix completion
Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completionMetron (Metron), 2021
The Tien Mai
272
1
0
22 Mar 2021
Efficient Bayesian reduced rank regression using Langevin Monte Carlo
  approach
Efficient Bayesian reduced rank regression using Langevin Monte Carlo approach
The Tien Mai
BDL
249
4
0
15 Feb 2021
Deep Learning Methods for Solving Linear Inverse Problems: Research
  Directions and Paradigms
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and ParadigmsSignal Processing (Signal Process.), 2020
Yanna Bai
Wei Chen
Jie Chen
Weisi Guo
312
78
0
27 Jul 2020
Bayesian Low Rank Tensor Ring Model for Image Completion
Bayesian Low Rank Tensor Ring Model for Image Completion
Zhen Long
Ce Zhu
Jiani Liu
Yipeng Liu
228
6
0
29 Jun 2020
The Sparse Reverse of Principal Component Analysis for Fast Low-Rank
  Matrix Completion
The Sparse Reverse of Principal Component Analysis for Fast Low-Rank Matrix Completion
Abdallah A. Chehade
Zunya Shi
134
0
0
04 Oct 2019
Latent Function Decomposition for Forecasting Li-ion Battery Cells
  Capacity: A Multi-Output Convolved Gaussian Process Approach
Latent Function Decomposition for Forecasting Li-ion Battery Cells Capacity: A Multi-Output Convolved Gaussian Process Approach
Abdallah A. Chehade
A. Hussein
BDL
148
19
0
19 Jul 2019
Low-Rank Phase Retrieval via Variational Bayesian Learning
Low-Rank Phase Retrieval via Variational Bayesian Learning
Kaihui Liu
Jiayi Wang
Zhengli Xing
Linxiao Yang
Jun Fang
BDL
187
14
0
05 Nov 2018
Exponential weights in multivariate regression and a low-rankness
  favoring prior
Exponential weights in multivariate regression and a low-rankness favoring prior
A. Dalalyan
330
17
0
25 Jun 2018
1
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