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nuclear norm

79 papers

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Also known as

NN

Co-occurring keywords

matrix completion (356) convex optimization (1321) low-rank matrix (174) matrix factorization (529) nuclear norm regularization (26) singular value decomposition (222) tensor completion (64) nuclear norm minimization (20) collaborative filtering (300) low-rank matrix recovery (57)

Papers

How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients ACL 2026
STAR: Spectral Truncation and Rescale for Model Merging NAACL 2025
Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares JMLR 2025
Efficient Differentiable Approximation of Generalized Low-rank Regularization IJCAI 2025
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis IJCAI 2024
Weight decay induces low-rank attention layers NIPS 2024
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion NIPS 2024
Low-Rank Matrix Estimation in the Presence of Change-Points JMLR 2024
Faster Spectral Density Estimation and Sparsification in the Nuclear Norm (Extended Abstract) COLT 2024
Representer Point Selection for Explaining Regularized High-dimensional Models ICML 2023
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation ICML 2023
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure JMLR 2023
New Insights for the Multivariate Square-Root Lasso JMLR 2022
Asymptotics of $\ell_2$ Regularized Network Embeddings NIPS 2022
Fine-grained Generalization Analysis of Inductive Matrix Completion NIPS 2021
Implicit Regularization in Matrix Sensing via Mirror Descent NIPS 2021
Post-Training Quantization for Vision Transformer NIPS 2021
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers NIPS 2021
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NIPS 2021
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations CVPR 2020
A Unified Optimization Framework for Low-Rank Inducing Penalties CVPR 2020
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering CVPR 2019
On Dropout and Nuclear Norm Regularization ICML 2019
Non-Convex Matrix Completion and Related Problems via Strong Duality JMLR 2019
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion JMLR 2019