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1309.6013
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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
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Concentration properties of fractional posterior in 1-bit matrix completion
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An Admissible Shift-Consistent Method for Recommender Systems
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A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion
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Quantized Radio Map Estimation Using Tensor and Deep Generative Models
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Quantized Low-Rank Multivariate Regression with Random Dithering
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Transductive Matrix Completion with Calibration for Multi-Task Learning
Hengfang Wang
Yasi Zhang
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Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery
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A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency
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Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems
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High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization
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One-Bit Matrix Completion with Differential Privacy
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Zheng Wei
Zengfeng Huang
Xiaojun Mao
Jian Wang
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Matrix Completion with Model-free Weighting
Jiayi Wang
R. K. Wong
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Kwun Chuen Gary Chan
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Statistical Inference for Noisy Incomplete Binary Matrix
Yunxiao Chen
Chengcheng Li
Ouyang Jing
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Maximum a Posteriori Inference of Random Dot Product Graphs via Conic Programming
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David R Palmer
Daryl R. DeFord
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TenIPS: Inverse Propensity Sampling for Tensor Completion
Chengrun Yang
Lijun Ding
Ziyang Wu
Madeleine Udell
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Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence
Yuetian Luo
Wen Huang
Xudong Li
Anru R. Zhang
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Determining the Number of Factors in High-dimensional Generalized Latent Factor Models
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Z. Ying
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Robust Matrix Completion with Mixed Data Types
Daqian Sun
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Tensor denoising and completion based on ordinal observations
Chanwoo Lee
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Tensor Recovery from Noisy and Multi-Level Quantized Measurements
Ren Wang
Meng Wang
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Cluster Developing 1-Bit Matrix Completion
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Imputation and low-rank estimation with Missing Not At Random data
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Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality
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A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure
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F. Marvasti
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Recovering Quantized Data with Missing Information Using Bilinear Factorization and Augmented Lagrangian Method
Ashkan Esmaeili
Kayhan Behdin
Sina Al-E-Mohammad
F. Marvasti
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Collective Matrix Completion
Mokhtar Z. Alaya
Olga Klopp
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Learning tensors from partial binary measurements
Navid Ghadermarzy
Y. Plan
Özgür Yilmaz
MQ
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Binary Matrix Completion Using Unobserved Entries
M. Hayashi
Tomoya Sakai
Masashi Sugiyama
26
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Spectral State Compression of Markov Processes
Anru R. Zhang
Mengdi Wang
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Near-optimal sample complexity for convex tensor completion
Navid Ghadermarzy
Y. Plan
Özgür Yilmaz
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32
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SAR: Semantic Analysis for Recommendation
Han Xiao
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Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions
Pierre Alquier
V. Cottet
Guillaume Lecué
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A Universal Variance Reduction-Based Catalyst for Nonconvex Low-Rank Matrix Recovery
Lingxiao Wang
Xiao Zhang
Quanquan Gu
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Network cross-validation by edge sampling
Tianxi Li
Elizaveta Levina
Ji Zhu
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A Unified Computational and Statistical Framework for Nonconvex Low-Rank Matrix Estimation
Lingxiao Wang
Xiao Zhang
Quanquan Gu
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Regret Bounds for Non-decomposable Metrics with Missing Labels
Prateek Jain
Nagarajan Natarajan
17
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1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation
V. Cottet
Pierre Alquier
38
36
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14 Apr 2016
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Yudong Chen
Martin J. Wainwright
28
317
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Categorical Matrix Completion
Yang Cao
Yao Xie
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Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion
Lijun Zhang
Tianbao Yang
Rong Jin
Zhi-Hua Zhou
26
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26 Apr 2015
Social Trust Prediction via Max-norm Constrained 1-bit Matrix Completion
Jing Wang
Jie Shen
Huan Xu
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