spectral initialization

Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity COLT 2026 Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Extended Abstract COLT 2025 Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization AISTATS 2025 Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery JMLR 2024 LipsFormer: Introducing Lipschitz Continuity to Vision Transformers ICLR 2023 Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval JMLR 2023 Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering ICML 2022 Misspecified Phase Retrieval with Generative Priors NeurIPS 2022 Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion AISTATS 2022 Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements JMLR 2022 Approximate Message Passing with Spectral Initialization for Generalized Linear Models AISTATS 2021 Initialization and Regularization of Factorized Neural Layers ICLR 2021 Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors NeurIPS 2021 Blind Demixing via Wirtinger Flow with Random Initialization AISTATS 2019 Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019 Approximate message passing for amplitude based optimization ICML 2018 Convolutional Phase Retrieval NeurIPS 2017 Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems NeurIPS 2015