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Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

9 October 2014
Trevor Hastie
Rahul Mazumder
Jason D. Lee
R. Zadeh
ArXiv (abs)PDFHTML

Papers citing "Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares"

50 / 149 papers shown
Title
Multiple Imputation via Generative Adversarial Network for
  High-dimensional Blockwise Missing Value Problems
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems
Zongyu Dai
Zhiqi Bu
Qi Long
GAN
64
22
0
21 Dec 2021
Rank-Constrained Least-Squares: Prediction and Inference
Rank-Constrained Least-Squares: Prediction and Inference
Michael Law
Yaácov Ritov
Ruixiang Zhang
Ziwei Zhu
117
1
0
29 Nov 2021
Optimality of variational inference for stochastic block model with
  missing links
Optimality of variational inference for stochastic block model with missing links
Solenne Gaucher
Olga Klopp
41
2
0
05 Nov 2021
Fairness in Missing Data Imputation
Fairness in Missing Data Imputation
Yiliang Zhang
Q. Long
79
13
0
22 Oct 2021
Low-rank Matrix Recovery With Unknown Correspondence
Low-rank Matrix Recovery With Unknown Correspondence
Zhiwei Tang
Tsung-Hui Chang
X. Ye
H. Zha
94
4
0
15 Oct 2021
Causal Matrix Completion
Causal Matrix Completion
Anish Agarwal
M. Dahleh
Devavrat Shah
Dennis Shen
CML
457
54
0
30 Sep 2021
Dimension Reduction for Data with Heterogeneous Missingness
Dimension Reduction for Data with Heterogeneous Missingness
Yurong Ling
Zijing Liu
Jing-Hao Xue
25
0
0
24 Sep 2021
Weighted Low Rank Matrix Approximation and Acceleration
Weighted Low Rank Matrix Approximation and Acceleration
Elena Tuzhilina
Trevor Hastie
OffRL
58
7
0
22 Sep 2021
Matrix Completion of World Trade
Matrix Completion of World Trade
G. Gnecco
Federico Nutarelli
M. Riccaboni
10
0
0
08 Sep 2021
Inference for Low-Rank Models
Inference for Low-Rank Models
Victor Chernozhukov
Christian B. Hansen
Yuan Liao
Yinchu Zhu
56
12
0
06 Jul 2021
How Low Can We Go: Trading Memory for Error in Low-Precision Training
How Low Can We Go: Trading Memory for Error in Low-Precision Training
Chengrun Yang
Ziyang Wu
Jerry Chee
Christopher De Sa
Madeleine Udell
51
2
0
17 Jun 2021
Matrix Completion with Model-free Weighting
Matrix Completion with Model-free Weighting
Jiayi Wang
R. K. Wong
Xiaojun Mao
Kwun Chuen Gary Chan
62
6
0
09 Jun 2021
Smooth Bilevel Programming for Sparse Regularization
Smooth Bilevel Programming for Sparse Regularization
C. Poon
Gabriel Peyré
100
18
0
02 Jun 2021
Multi-source Learning via Completion of Block-wise Overlapping Noisy
  Matrices
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices
D. Zhou
Tianxi Cai
Junwei Lu
109
11
0
21 May 2021
Nonparametric Trace Regression in High Dimensions via Sign Series
  Representation
Nonparametric Trace Regression in High Dimensions via Sign Series Representation
Chanwoo Lee
Lexin Li
Hao Helen Zhang
Miaoyan Wang
AI4TS
13
1
0
04 May 2021
PAC-Bayesian Matrix Completion with a Spectral Scaled Student Prior
PAC-Bayesian Matrix Completion with a Spectral Scaled Student Prior
The Tien Mai
60
2
0
16 Apr 2021
NoisyCUR: An algorithm for two-cost budgeted matrix completion
NoisyCUR: An algorithm for two-cost budgeted matrix completion
D. Hu
Alex Gittens
M. Magdon-Ismail
50
1
0
16 Apr 2021
The Power of Subsampling in Submodular Maximization
The Power of Subsampling in Submodular Maximization
Christopher Harshaw
Ehsan Kazemi
Moran Feldman
Amin Karbasi
92
7
0
06 Apr 2021
Large factor model estimation by nuclear norm plus $l_1$ norm
  penalization
Large factor model estimation by nuclear norm plus l1l_1l1​ norm penalization
M. Farné
A. Montanari
82
0
0
06 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 completion
The Tien Mai
36
1
0
22 Mar 2021
Wasserstein Graph Neural Networks for Graphs with Missing Attributes
Wasserstein Graph Neural Networks for Graphs with Missing Attributes
Zhi-Xing Chen
Tengfei Ma
Yangqiu Song
Yangkun Wang
GNN
98
2
0
06 Feb 2021
Vector-output ReLU Neural Network Problems are Copositive Programs:
  Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
Arda Sahiner
Tolga Ergen
John M. Pauly
Mert Pilanci
MLT
171
44
0
24 Dec 2020
Explainable Recommendation Systems by Generalized Additive Models with
  Manifest and Latent Interactions
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions
Yifeng Guo
Yuhao Su
Zebin Yang
Aijun Zhang
31
2
0
15 Dec 2020
A Fast Linear Regression via SVD and Marginalization
A Fast Linear Regression via SVD and Marginalization
P. Greengard
Andrew Gelman
Aki Vehtari
41
3
0
09 Nov 2020
Handling Missing Data with Graph Representation Learning
Handling Missing Data with Graph Representation Learning
Jiaxuan You
Xiaobai Ma
D. Ding
Mykel Kochenderfer
J. Leskovec
82
182
0
30 Oct 2020
Simultaneous Relevance and Diversity: A New Recommendation Inference
  Approach
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach
Yifang Liu
Zhe Xu
Qiyuan An
Yang Yi
Yanzhi Wang
Trevor Hastie
20
0
0
27 Sep 2020
Time-series Imputation and Prediction with Bi-Directional Generative
  Adversarial Networks
Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks
Mehak Gupta
Rahmatollah Beheshti
SyDaGANAI4TS
28
13
0
18 Sep 2020
Competing AI: How does competition feedback affect machine learning?
Competing AI: How does competition feedback affect machine learning?
Antonio A. Ginart
Eva Zhang
Yongchan Kwon
James Zou
AAML
40
0
0
15 Sep 2020
Implicit Feedback Deep Collaborative Filtering Product Recommendation
  System
Implicit Feedback Deep Collaborative Filtering Product Recommendation System
K. Bhaskar
D. Kundur
Y. Lawryshyn
BDL
36
3
0
08 Sep 2020
Column $\ell_{2,0}$-norm regularized factorization model of low-rank
  matrix recovery and its computation
Column ℓ2,0\ell_{2,0}ℓ2,0​-norm regularized factorization model of low-rank matrix recovery and its computation
Ting Tao
Yitian Qian
S. Pan
42
2
0
24 Aug 2020
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix
  Completion
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion
Yaqing Wang
Quanming Yao
James T. Kwok
39
0
0
14 Aug 2020
Robust Multi-Agent Multi-Armed Bandits
Robust Multi-Agent Multi-Armed Bandits
Daniel Vial
Sanjay Shakkottai
R. Srikant
76
37
0
07 Jul 2020
NeuMiss networks: differentiable programming for supervised learning
  with missing values
NeuMiss networks: differentiable programming for supervised learning with missing values
Marine Le Morvan
Julie Josse
Thomas Moreau
Erwan Scornet
Gaël Varoquaux
46
8
0
03 Jul 2020
Low-Rank Factorization for Rank Minimization with Nonconvex Regularizers
Low-Rank Factorization for Rank Minimization with Nonconvex Regularizers
April Sagan
J. Mitchell
38
5
0
13 Jun 2020
Ridge Regularizaton: an Essential Concept in Data Science
Ridge Regularizaton: an Essential Concept in Data Science
Trevor Hastie
40
84
0
30 May 2020
Orthogonal Inductive Matrix Completion
Orthogonal Inductive Matrix Completion
Antoine Ledent
Rodrigo Alves
Marius Kloft
47
14
0
03 Apr 2020
Statistically Guided Divide-and-Conquer for Sparse Factorization of
  Large Matrix
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix
Kun Chen
Ruipeng Dong
Wanwan Xu
Zemin Zheng
CML
54
2
0
17 Mar 2020
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent
  Variable Models
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models
Imke Mayer
Julie Josse
Félix Raimundo
Jean-Philippe Vert
CML
66
12
0
25 Feb 2020
Missing Data Imputation using Optimal Transport
Missing Data Imputation using Optimal Transport
Boris Muzellec
Julie Josse
Claire Boyer
Marco Cuturi
OT
72
126
0
10 Feb 2020
A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate
  Regression in Brain Connectivity Analysis
A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis
Damian Brzyski
Xixi Hu
J. Goñi
B. Ances
T. Randolph
J. Harezlak
23
1
0
30 Jan 2020
A clustering approach to time series forecasting using neural networks:
  A comparative study on distance-based vs. feature-based clustering methods
A clustering approach to time series forecasting using neural networks: A comparative study on distance-based vs. feature-based clustering methods
M. Tadayon
Y. Iwashita
AI4TS
23
5
0
27 Jan 2020
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
Ronshee Chawla
Abishek Sankararaman
A. Ganesh
Sanjay Shakkottai
82
52
0
15 Jan 2020
Outliers Detection in Networks with Missing Links
Outliers Detection in Networks with Missing Links
Solenne Gaucher
Olga Klopp
Geneviève Robin
47
0
0
29 Nov 2019
Error bound of critical points and KL property of exponent $1/2$ for
  squared F-norm regularized factorization
Error bound of critical points and KL property of exponent 1/21/21/2 for squared F-norm regularized factorization
Ting Tao
S. Pan
Shujun Bi
37
4
0
11 Nov 2019
Optimal Experimental Design for Staggered Rollouts
Optimal Experimental Design for Staggered Rollouts
Ruoxuan Xiong
Susan Athey
Mohsen Bayati
Guido Imbens
65
39
0
09 Nov 2019
Fast Exact Matrix Completion: A Unified Optimization Framework for
  Matrix Completion
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion
Dimitris Bertsimas
M. Li
60
2
0
21 Oct 2019
High-Resolution Traffic Sensing with Autonomous Vehicles
High-Resolution Traffic Sensing with Autonomous Vehicles
Wei-Ying Ma
Sean Qian
26
6
0
06 Oct 2019
Distributed-Memory Tensor Completion for Generalized Loss Functions in
  Python using New Sparse Tensor Kernels
Distributed-Memory Tensor Completion for Generalized Loss Functions in Python using New Sparse Tensor Kernels
Navjot Singh
Zecheng Zhang
Xiaoxia Wu
Naijing Zhang
Siyuan Zhang
Edgar Solomonik
22
15
0
06 Oct 2019
Social Learning in Multi Agent Multi Armed Bandits
Social Learning in Multi Agent Multi Armed Bandits
Abishek Sankararaman
A. Ganesh
Sanjay Shakkottai
109
86
0
04 Oct 2019
Learning Robust Data Representation: A Knowledge Flow Perspective
Learning Robust Data Representation: A Knowledge Flow Perspective
Zhengming Ding
Ming Shao
Handong Zhao
Sheng Li
OOD
20
0
0
28 Sep 2019
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