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[PDF] Top 20 A Simpler Approach to Matrix Completion

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A Simpler Approach to Matrix Completion

A Simpler Approach to Matrix Completion

... the matrix of minimum nuclear norm that agreed with the provided entries, and furthermore the revealed set of entries could comprise a vanishing fraction of the entire ...a matrix and is the best convex ... See full document

18

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

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

... 1-bit matrix completion under the uniform sampling model, where observed entries are assumed to be sampled randomly and ...constrained approach has been shown to achieve minimax rate of ... See full document

29

Nonconvex matrix completion with Nesterov’s acceleration

Nonconvex matrix completion with Nesterov’s acceleration

... solve matrix completion ...for matrix completion, which achieves super-linear convergence and can be generalized to the problem of learning multiple matrices and general spectral ... See full document

12

Matrix Completion from  Noisy Entries

Matrix Completion from Noisy Entries

... The above results crucially rely on the assumption that M is exactly a rank r matrix. For many applications of interest, this assumption is unrealistic and it is therefore important to investigate their ... See full document

22

Unsupervised Spectral Learning of WCFG as Low rank Matrix Completion

Unsupervised Spectral Learning of WCFG as Low rank Matrix Completion

... spectral approach provides a good thinking tool to reason about distributions over Σ ∗ , the question of whether they can be used for un- supervised learning of WCFG seems ... See full document

12

Learning Translations via Matrix Completion

Learning Translations via Matrix Completion

... With the increasing popularity of word em- beddings, many recent works approximate simi- larities between words in different languages by constructing a shared bilingual embedding space (Klementiev et al., 2012b; Zou et ... See full document

12

Exploiting Feature Information in Matrix Completion.

Exploiting Feature Information in Matrix Completion.

... the matrix decomposition, and can be viewed as a hard-thresholding type of ...the matrix factorization techniques as their foundation, they still encounter the non-convex optimization ...much simpler ... See full document

97

On Accelerated Singular Value Thresholding Algorithm for Matrix Completion

On Accelerated Singular Value Thresholding Algorithm for Matrix Completion

... In this paper, we point out that the ASVT algorithm [1] is essentially the same as the Nemirovski’s approach, then modify it to obtain the accelerate Nemirovski’s approach and prove the convergence. We also ... See full document

8

Distributed Matrix Completion and Robust Factorization

Distributed Matrix Completion and Robust Factorization

... this approach, one em- braces parallel and distributed computing architectures, applying existing base algorithms to multiple subsets of the data in parallel and then combining the ... See full document

48

Matrix Completion with Noisy Entries and Outliers

Matrix Completion with Noisy Entries and Outliers

... robust matrix completion method that can be applied to recover a matrix with missing, noisy and/or outlying ...PCP approach that decomposes the matrix into a sum of a low rank and a ... See full document

25

The Algebraic Combinatorial Approach for Low-Rank Matrix Completion

The Algebraic Combinatorial Approach for Low-Rank Matrix Completion

... In Figure 5, the phase transition curves for different n at rank 2 and 3 are shown. The two plots in the top part show the results for the 2r-regular masks, and the two plots in the bottom show the same results for the ... See full document

46

Collective Matrix Completion

Collective Matrix Completion

... low-rank matrix when the data are collected from multiple and heterogeneous source ...the matrix entries are sampled from an exponential family ...1-bit matrix completion which previously was ... See full document

43

Distant Supervision for Relation Extraction with Matrix Completion

Distant Supervision for Relation Extraction with Matrix Completion

... using matrix completion on factorized matrix of minimized ...parse matrix that concatenates training and testing textual features with training label- ...joint matrix is ... See full document

11

Computational and nonglycosylated systems: a simpler approach for development of nanosized PEGylated proteins

Computational and nonglycosylated systems: a simpler approach for development of nanosized PEGylated proteins

... In addition, the expression of the protein in eukaryotic cells, like CHO, is difficult, and PTMs made by such systems create many variations in final product. Therefore, the use of simpler expression system, like ... See full document

8

Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing

Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing

... As mentioned earlier in the paper, we often know the range of entries to be predicted (e.g., 1 to 5 for movie rating prediction). The results of Section 4 suggest that in the inductive model, some sort of boundedness ... See full document

23

Approach Merotopological Spaces and their Completion

Approach Merotopological Spaces and their Completion

... an approach merotopological space and studies its category- theoretic ...are approach merotopological ...all approach merotopologies on a nonempty set is ...bunch completion of an ... See full document

16

Clipped Matrix Completion: A Remedy for Ceiling Effects

Clipped Matrix Completion: A Remedy for Ceiling Effects

... From the perspective of dealing with ceiling effects, the present paper adds a potentially effective method to the analysis of data affected by a ceiling effect. Ceiling effect is also referred to as censoring (Greene ... See full document

8

Public relations ethics: a simpler (but not simplistic) approach to the complexities

Public relations ethics: a simpler (but not simplistic) approach to the complexities

... planned. Without it, practitioners can be “reduced to taking, at best, educated guesses regarding the problem and potential intervention programs” (Stacks, 2002, p.4). The input research results guide programme planning ... See full document

17

The em Algorithm for Kernel Matrix Completion with Auxiliary Data

The em Algorithm for Kernel Matrix Completion with Auxiliary Data

... kernel matrix is derived from such data, we have to leave the entries for unavailable samples as ...kernel matrix derived from another information ...kernel matrix, and the missing entries are ... See full document

15

Probabilistic Low-Rank Matrix Completion from Quantized Measurements

Probabilistic Low-Rank Matrix Completion from Quantized Measurements

... the matrix Y of K level observations to a vector of K − 1 underlying matrices (M j ) K−1 j=1 ...investigated matrix completion for categorical data and extended the results of Davenport et ... See full document

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