low-rank matrix

ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning ICLR 2025 Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning ICML 2025 Fast Non-convex Matrix Sensing with Optimal Sample Complexity UAI 2025 Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds AISTATS 2025 LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation ICLR 2025 Noisy Low-Rank Matrix Completion via Transformed L_1 Regularization and its Theoretical Properties AISTATS 2025 Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Extended Abstract COLT 2025 Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses AISTATS 2024 A Note on Entrywise Consistency for Mixed-data Matrix Completion JMLR 2024 A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness NeurIPS 2024 Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators? ICLR 2024 Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models NeurIPS 2024 Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion COLT 2024 DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning ICLR 2024 Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent AISTATS 2024 Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024 How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization ICLR 2024 Learn more, but bother less: parameter efficient continual learning NeurIPS 2024 Metric Transforms and Low Rank Representations of Kernels for Fast Attention NeurIPS 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024 On Sampling Strategies for Spectral Model Sharding NeurIPS 2024 On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing JMLR 2024 Provable Interactive Learning with Hindsight Instruction Feedback ICML 2024 Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024 Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models ICML 2024