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nuclear norm regularization

26 papers

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Co-occurring keywords

nuclear norm (79) matrix completion (356) convex optimization (1321) matrix factorization (529) low-rank matrix (174) singular value decomposition (222) tensor completion (64) low-rank approximation (323) sparse linear regression (49) matrix recovery (51)

Papers

Weight decay induces low-rank attention layers NIPS 2024
Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024
Nuclear Norm Regularization for Deep Learning NIPS 2024
Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning JMLR 2023
Detecting Latent Communities in Network Formation Models JMLR 2022
Fast Composite Optimization and Statistical Recovery in Federated Learning ICML 2022
Adaptive Rank Estimate in Robust Principal Component Analysis CVPR 2021
Finite Sample System Identification: Optimal Rates and the Role of Regularization L4DC 2020
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion JMLR 2019
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion AAAI 2019
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso NIPS 2019
Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space CVPR 2018
Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms NIPS 2018
SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017
Preference Completion from Partial Rankings NIPS 2016
NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning AISTATS 2016
Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems ICML 2015
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices NIPS 2015
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares JMLR 2015
Efficient Structured Matrix Rank Minimization NIPS 2014
Sparse Additive Text Models with Low Rank Background NIPS 2013
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013
Unsupervised Spectral Learning of Finite State Transducers NIPS 2013
Nonparametric Reduced Rank Regression NIPS 2012
Learning low-rank output kernels ACML 2011