DOI10.1561/2200000055zbMath1350.68221arXiv1410.0342OpenAlexW4206519735MaRDI QIDQ2825734
Reza Zadeh, Corinne Horn, Madeleine Udell, Stephen P. Boyd
Publication date: 13 October 2016
Published in: Foundations and Trends® in Machine Learning (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1410.0342
Embedding Learning,
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Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints,
Unnamed Item,
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A Nonlinear Matrix Decomposition for Mining the Zeros of Sparse Data,
A Nonmonotone Alternating Updating Method for a Class of Matrix Factorization Problems,
Kurdyka-Łojasiewicz exponent via inf-projection,
Inertial alternating direction method of multipliers for non-convex non-smooth optimization,
Multiple correspondence analysis and the multilogit bilinear model,
Enhanced image approximation using shifted rank-1 reconstruction,
A survey on deep matrix factorizations,
SONIC: social network analysis with influencers and communities,
Nonnegative decomposition of functional count data,
Dimensionality reduction for binary data through the projection of natural parameters,
Imputation and low-rank estimation with missing not at random data,
Bayesian mean-parameterized nonnegative binary matrix factorization,
Real-Time Radiation Treatment Planning with Optimality Guarantees via Cluster and Bound Methods,
\(e\)PCA: high dimensional exponential family PCA,
Adapting Regularized Low-Rank Models for Parallel Architectures,
Low-rank matrix approximation in the infinity norm,
Leveraging mixed and incomplete outcomes via reduced-rank modeling,
Hyperparameter optimization for recommender systems through Bayesian optimization,
Flexible low-rank statistical modeling with missing data and side information,
Main effects and interactions in mixed and incomplete data frames,
Generalized Canonical Polyadic Tensor Decomposition,
An objective penalty function method for biconvex programming,
Matrix optimization over low-rank spectral sets: stationary points and local and global minimizers,
Dynamic Assortment Personalization in High Dimensions,
LowRankModels,
Pyglrm,
Generalized SURE for optimal shrinkage of singular values in low-rank matrix denoising,
Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation,
Rank regularized estimation of approximate factor models,
Acceptable set topic modeling,
Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications,
Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data,
Simplex-Structured Matrix Factorization: Sparsity-Based Identifiability and Provably Correct Algorithms,
Signal Decomposition Using Masked Proximal Operators,
Why Are Big Data Matrices Approximately Low Rank?,
On a Problem of Weighted Low-Rank Approximation of Matrices
