matrix factorization

Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning NAACL 2024 Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NeurIPS 2024 SGD vs GD: Rank Deficiency in Linear Networks NeurIPS 2024 Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NeurIPS 2024 Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NeurIPS 2024 Supervised Matrix Factorization: Local Landscape Analysis and Applications ICML 2024 SVD-AE: Simple Autoencoders for Collaborative Filtering IJCAI 2024 The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis JMLR 2024 Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024 Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components JMLR 2024 VeRA: Vector-based Random Matrix Adaptation ICLR 2024 Weight decay induces low-rank attention layers NeurIPS 2024 A Fast Adaptive Randomized PCA Algorithm IJCAI 2023 A General Regret Bound of Preconditioned Gradient Method for DNN Training CVPR 2023 A Joint Matrix Factorization Analysis of Multilingual Representations EMNLP 2023 (Amplified) Banded Matrix Factorization: A unified approach to private training NeurIPS 2023 A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces AISTATS 2023 A Unified Framework for Optimization-Based Graph Coarsening JMLR 2023 Auto-Weighted Multi-View Clustering for Large-Scale Data AAAI 2023 Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors NeurIPS 2023 Convergence of Alternating Gradient Descent for Matrix Factorization NeurIPS 2023 Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss ICML 2023 Dictionary Learning for the Almost-Linear Sparsity Regime ALT 2023 Differentially Private Matrix Completion through Low-rank Matrix Factorization AISTATS 2023 DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation EACL 2023