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1504.05229
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Poisson Matrix Recovery and Completion
20 April 2015
Yang Cao
Yao Xie
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Papers citing
"Poisson Matrix Recovery and Completion"
26 / 26 papers shown
Title
Negative Binomial Matrix Completion
Yu Lu
Kevin Bui
Roummel F. Marcia
25
0
0
28 Aug 2024
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RPCA
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e
RPCA
: Robust Principal Component Analysis for Exponential Family Distributions
Xiaojun Zheng
Simon Mak
Liyan Xie
Yao Xie
17
2
0
30 Oct 2023
Spectral gap-based deterministic tensor completion
K. Harris
Oscar López
A. Read
Yizhe Zhu
25
2
0
09 Jun 2023
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Shahana Ibrahim
Xiao Fu
R. Hutchinson
Eugene Seo
70
1
0
05 Jun 2023
Unbiased Test Error Estimation in the Poisson Means Problem via Coupled Bootstrap Techniques
Natalia L. Oliveira
Jing Lei
Robert Tibshirani
75
7
0
04 Dec 2022
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency
Yunxiao Chen
Xiaoou Li
56
1
0
17 Nov 2022
Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros
Oscar López
Daniel M. Dunlavy
R. Lehoucq
34
4
0
25 Jan 2022
Learning to Recommend Using Non-Uniform Data
W. Chen
Mohsen Bayati
CML
61
1
0
21 Oct 2021
Biwhitening Reveals the Rank of a Count Matrix
Boris Landa
Thomas T. Zhang
Y. Kluger
82
22
0
25 Mar 2021
HePPCAT: Probabilistic PCA for Data with Heteroscedastic Noise
David Hong
Kyle Gilman
Laura Balzano
Jeffrey A. Fessler
144
20
0
10 Jan 2021
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
153
173
0
15 Dec 2020
Tensor Kernel Recovery for Spatio-Temporal Hawkes Processes
Heejune Sheen
Xiao-ning Zhu
Yao Xie
22
2
0
24 Nov 2020
Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations
Xiongjun Zhang
Michael K. Ng
62
17
0
21 Jul 2020
Fixing Inventory Inaccuracies At Scale
Vivek F. Farias
Andrew A. Li
Tianyi Peng
65
2
0
23 Jun 2020
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Rungang Han
Rebecca Willett
Anru R. Zhang
119
70
0
26 Feb 2020
Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation
Jérémie Bigot
Charles-Alban Deledalle
51
5
0
28 Jan 2020
Low-rank matrix completion and denoising under Poisson noise
Andrew D. McRae
Mark A. Davenport
58
19
0
11 Jul 2019
Learning Markov models via low-rank optimization
Ziwei Zhu
Xudong Li
Mengdi Wang
Anru R. Zhang
76
17
0
28 Jun 2019
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
Yuling Yan
89
128
0
20 Feb 2019
High-dimensional Log-Error-in-Variable Regression with Applications to Microbial Compositional Data Analysis
Pixu Shi
Yuchen Zhou
Anru R. Zhang
65
19
0
28 Nov 2018
Multi-sample Estimation of Bacterial Composition Matrix in Metagenomics Data
Yuanpei Cao
Anru R. Zhang
Hongzhe Li
81
11
0
07 Jun 2017
Cross: Efficient Low-rank Tensor Completion
Anru R. Zhang
163
56
0
03 Nov 2016
Generalized SURE for optimal shrinkage of singular values in low-rank matrix denoising
Jérémie Bigot
Charles-Alban Deledalle
D. Féral
51
21
0
24 May 2016
On the Online Frank-Wolfe Algorithms for Convex and Non-convex Optimizations
Jean Lafond
Hoi-To Wai
Eric Moulines
119
32
0
05 Oct 2015
Categorical Matrix Completion
Yang Cao
Yao Xie
154
24
0
02 Jul 2015
Poisson Matrix Completion
Yang Cao
Yao Xie
53
10
0
26 Jan 2015
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