nuclear norm

How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients ACL 2026 Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares JMLR 2025 Efficient Differentiable Approximation of Generalized Low-rank Regularization IJCAI 2025 Elastic Representation: Mitigating Spurious Correlations for Group Robustness AISTATS 2025 Learning Visual-Semantic Subspace Representations AISTATS 2025 Noisy Low-Rank Matrix Completion via Transformed L_1 Regularization and its Theoretical Properties AISTATS 2025 SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation ICLR 2025 STAR: Spectral Truncation and Rescale for Model Merging NAACL 2025 Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings AISTATS 2025 Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion NeurIPS 2024 Faster Spectral Density Estimation and Sparsification in the Nuclear Norm (Extended Abstract) COLT 2024 Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem ICLR 2024 Low-Rank Matrix Estimation in the Presence of Change-Points JMLR 2024 Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis IJCAI 2024 Weight decay induces low-rank attention layers NeurIPS 2024 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 Representer Point Selection for Explaining Regularized High-dimensional Models ICML 2023 Asymptotics of ℓ_2 Regularized Network Embeddings NeurIPS 2022 Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm COLT 2022 New Insights for the Multivariate Square-Root Lasso JMLR 2022 Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NeurIPS 2021 Fine-grained Generalization Analysis of Inductive Matrix Completion NeurIPS 2021 Implicit Regularization in Matrix Sensing via Mirror Descent NeurIPS 2021 Post-Training Quantization for Vision Transformer NeurIPS 2021