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A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion

A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion

24 September 2013
Tony Cai
Wen-Xin Zhou
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Papers citing "A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion"

50 / 59 papers shown
Title
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications
Sze Ming Lee
Yunxiao Chen
44
0
0
13 Jan 2025
Impossibility of latent inner product recovery via rate distortion
Impossibility of latent inner product recovery via rate distortion
Cheng Mao
Shenduo Zhang
21
1
0
16 Jul 2024
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
Chenyin Gao
Zhiming Zhang
Shu Yang
27
2
0
18 May 2024
Data Imputation by Pursuing Better Classification: A Supervised
  Kernel-Based Method
Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method
Ruikai Yang
Fan He
Mingzhen He
Kaijie Wang
Xiaolin Huang
26
1
0
13 May 2024
Concentration properties of fractional posterior in 1-bit matrix
  completion
Concentration properties of fractional posterior in 1-bit matrix completion
The Tien Mai
36
3
0
13 Apr 2024
Misclassification excess risk bounds for 1-bit matrix completion
Misclassification excess risk bounds for 1-bit matrix completion
The Tien Mai
24
0
0
20 Dec 2023
Tuning-free one-bit covariance estimation using data-driven dithering
Tuning-free one-bit covariance estimation using data-driven dithering
S. Dirksen
J. Maly
30
7
0
24 Jul 2023
An Admissible Shift-Consistent Method for Recommender Systems
An Admissible Shift-Consistent Method for Recommender Systems
Tung D. Nguyen
J. Uhlmann
20
3
0
17 Jul 2023
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix
  Completion
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion
Xiaoqian Liu
Xu Han
Eric C. Chi
B. Nadler
21
0
0
27 Apr 2023
Quantized Radio Map Estimation Using Tensor and Deep Generative Models
Quantized Radio Map Estimation Using Tensor and Deep Generative Models
Subash Timilsina
Sagar Shrestha
Xiao Fu
26
7
0
03 Mar 2023
Quantized Low-Rank Multivariate Regression with Random Dithering
Quantized Low-Rank Multivariate Regression with Random Dithering
Junren Chen
Yueqi Wang
Michael Kwok-Po Ng
31
4
0
22 Feb 2023
Transductive Matrix Completion with Calibration for Multi-Task Learning
Transductive Matrix Completion with Calibration for Multi-Task Learning
Hengfang Wang
Yasi Zhang
Xiaojun Mao
Zhonglei Wang
21
1
0
20 Feb 2023
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax
  Rates, Covariate Quantization, and Uniform Recovery
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery
Junren Chen
Michael Kwok-Po Ng
Di Wang
MQ
28
13
0
30 Dec 2022
A Generalized Latent Factor Model Approach to Mixed-data Matrix
  Completion with Entrywise Consistency
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency
Yunxiao Chen
Xiaoou Li
29
0
0
17 Nov 2022
Tensor Completion with Provable Consistency and Fairness Guarantees for
  Recommender Systems
Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems
Tung D. Nguyen
J. Uhlmann
60
9
0
04 Apr 2022
High Dimensional Statistical Estimation under Uniformly Dithered One-bit
  Quantization
High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization
Junren Chen
Cheng-Long Wang
Michael Kwok-Po Ng
Di Wang
MQ
26
17
0
26 Feb 2022
One-Bit Matrix Completion with Differential Privacy
One-Bit Matrix Completion with Differential Privacy
Zhengpin Li
Zheng Wei
Zengfeng Huang
Xiaojun Mao
Jian Wang
27
0
0
02 Oct 2021
Matrix Completion with Model-free Weighting
Matrix Completion with Model-free Weighting
Jiayi Wang
R. K. Wong
Xiaojun Mao
Kwun Chuen Gary Chan
34
5
0
09 Jun 2021
Statistical Inference for Noisy Incomplete Binary Matrix
Statistical Inference for Noisy Incomplete Binary Matrix
Yunxiao Chen
Chengcheng Li
Ouyang Jing
Gongjun Xu
22
7
0
04 May 2021
Maximum a Posteriori Inference of Random Dot Product Graphs via Conic
  Programming
Maximum a Posteriori Inference of Random Dot Product Graphs via Conic Programming
D. Wu
David R Palmer
Daryl R. DeFord
9
1
0
06 Jan 2021
TenIPS: Inverse Propensity Sampling for Tensor Completion
TenIPS: Inverse Propensity Sampling for Tensor Completion
Chengrun Yang
Lijun Ding
Ziyang Wu
Madeleine Udell
29
8
0
01 Jan 2021
Recursive Importance Sketching for Rank Constrained Least Squares:
  Algorithms and High-order Convergence
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence
Yuetian Luo
Wen Huang
Xudong Li
Anru R. Zhang
23
15
0
17 Nov 2020
Determining the Number of Factors in High-dimensional Generalized Latent
  Factor Models
Determining the Number of Factors in High-dimensional Generalized Latent Factor Models
Yunxiao Chen
Xiaoou Li
25
15
0
05 Oct 2020
Unfolding-Model-Based Visualization: Theory, Method and Applications
Unfolding-Model-Based Visualization: Theory, Method and Applications
Yunxiao Chen
Z. Ying
Haoran Zhang
9
2
0
03 Sep 2020
Robust Matrix Completion with Mixed Data Types
Robust Matrix Completion with Mixed Data Types
Daqian Sun
M. Wells
21
0
0
25 May 2020
Tensor denoising and completion based on ordinal observations
Tensor denoising and completion based on ordinal observations
Chanwoo Lee
Miaoyan Wang
14
16
0
16 Feb 2020
Tensor Recovery from Noisy and Multi-Level Quantized Measurements
Tensor Recovery from Noisy and Multi-Level Quantized Measurements
Ren Wang
Meng Wang
Jinjun Xiong
17
4
0
05 Dec 2019
Weighted matrix completion from non-random, non-uniform sampling
  patterns
Weighted matrix completion from non-random, non-uniform sampling patterns
S. Foucart
Deanna Needell
Reese Pathak
Y. Plan
Mary Wootters
22
27
0
30 Oct 2019
Binary matrix completion with nonconvex regularizers
Binary matrix completion with nonconvex regularizers
Chunsheng Liu
19
1
0
08 Apr 2019
Cluster Developing 1-Bit Matrix Completion
Cluster Developing 1-Bit Matrix Completion
Chengkun Zhang
Stephen Lu
14
0
0
07 Apr 2019
Imputation and low-rank estimation with Missing Not At Random data
Imputation and low-rank estimation with Missing Not At Random data
Aude Sportisse
Claire Boyer
Julie Josse
25
47
0
29 Dec 2018
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition
  and its Statistical Optimality
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality
Miaoyan Wang
Lexin Li
11
35
0
13 Nov 2018
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure
Ashkan Esmaeili
F. Marvasti
MQ
13
30
0
29 Oct 2018
Recovering Quantized Data with Missing Information Using Bilinear
  Factorization and Augmented Lagrangian Method
Recovering Quantized Data with Missing Information Using Bilinear Factorization and Augmented Lagrangian Method
Ashkan Esmaeili
Kayhan Behdin
Sina Al-E-Mohammad
F. Marvasti
11
3
0
07 Oct 2018
Collective Matrix Completion
Collective Matrix Completion
Mokhtar Z. Alaya
Olga Klopp
13
11
0
24 Jul 2018
Learning tensors from partial binary measurements
Learning tensors from partial binary measurements
Navid Ghadermarzy
Y. Plan
Özgür Yilmaz
MQ
17
35
0
31 Mar 2018
Binary Matrix Completion Using Unobserved Entries
Binary Matrix Completion Using Unobserved Entries
M. Hayashi
Tomoya Sakai
Masashi Sugiyama
26
1
0
13 Mar 2018
Spectral State Compression of Markov Processes
Spectral State Compression of Markov Processes
Anru R. Zhang
Mengdi Wang
31
49
0
08 Feb 2018
Near-optimal sample complexity for convex tensor completion
Near-optimal sample complexity for convex tensor completion
Navid Ghadermarzy
Y. Plan
Özgür Yilmaz
22
32
0
14 Nov 2017
SAR: Semantic Analysis for Recommendation
SAR: Semantic Analysis for Recommendation
Han Xiao
Minlie Huang
12
1
0
21 Feb 2017
Estimation bounds and sharp oracle inequalities of regularized
  procedures with Lipschitz loss functions
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions
Pierre Alquier
V. Cottet
Guillaume Lecué
40
58
0
05 Feb 2017
A Universal Variance Reduction-Based Catalyst for Nonconvex Low-Rank
  Matrix Recovery
A Universal Variance Reduction-Based Catalyst for Nonconvex Low-Rank Matrix Recovery
Lingxiao Wang
Xiao Zhang
Quanquan Gu
35
11
0
09 Jan 2017
Network cross-validation by edge sampling
Network cross-validation by edge sampling
Tianxi Li
Elizaveta Levina
Ji Zhu
21
160
0
14 Dec 2016
A Unified Computational and Statistical Framework for Nonconvex Low-Rank
  Matrix Estimation
A Unified Computational and Statistical Framework for Nonconvex Low-Rank Matrix Estimation
Lingxiao Wang
Xiao Zhang
Quanquan Gu
22
80
0
17 Oct 2016
Regret Bounds for Non-decomposable Metrics with Missing Labels
Regret Bounds for Non-decomposable Metrics with Missing Labels
Prateek Jain
Nagarajan Natarajan
17
3
0
07 Jun 2016
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational
  Approximation
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation
V. Cottet
Pierre Alquier
38
36
0
14 Apr 2016
Fast low-rank estimation by projected gradient descent: General
  statistical and algorithmic guarantees
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Yudong Chen
Martin J. Wainwright
28
317
0
10 Sep 2015
Categorical Matrix Completion
Categorical Matrix Completion
Yang Cao
Yao Xie
27
24
0
02 Jul 2015
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix
  Completion
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion
Lijun Zhang
Tianbao Yang
Rong Jin
Zhi-Hua Zhou
26
5
0
26 Apr 2015
Social Trust Prediction via Max-norm Constrained 1-bit Matrix Completion
Social Trust Prediction via Max-norm Constrained 1-bit Matrix Completion
Jing Wang
Jie Shen
Huan Xu
28
1
0
24 Apr 2015
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