Sharpness of Minima in Deep Matrix Factorization
Fuente:
arXiv
Saved in:
| Main Authors: | Kamber, Anil, Parhi, Rahul |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Loss Landscape Geometry of Regularized Deep Matrix Factorization: Uniqueness and Sharpness
by: Kamber, Anil, et al.
Published: (2026)
by: Kamber, Anil, et al.
Published: (2026)
Nonasymptotic Convergence Rates for Plug-and-Play Methods With MMSE Denoisers
by: Pritchard, Henry, et al.
Published: (2025)
by: Pritchard, Henry, et al.
Published: (2025)
Nonnegative Low-rank Matrix Recovery Can Have Spurious Local Minima
by: Zhang, Richard Y.
Published: (2025)
by: Zhang, Richard Y.
Published: (2025)
Implicit Regularization in Perturbed Deep Matrix Factorization: Spectral Conditions and Stability
by: Wang, Jingzhe, et al.
Published: (2026)
by: Wang, Jingzhe, et al.
Published: (2026)
Hidden Minima in Two-Layer ReLU Networks
by: Arjevani, Yossi
Published: (2023)
by: Arjevani, Yossi
Published: (2023)
LoRA Training in the NTK Regime has No Spurious Local Minima
by: Jang, Uijeong, et al.
Published: (2024)
by: Jang, Uijeong, et al.
Published: (2024)
Gradient Descent with Polyak's Momentum Finds Flatter Minima via Large Catapults
by: Phunyaphibarn, Prin, et al.
Published: (2023)
by: Phunyaphibarn, Prin, et al.
Published: (2023)
Gradient Descent Converges Linearly to Flatter Minima than Gradient Flow in Shallow Linear Networks
by: Beneventano, Pierfrancesco, et al.
Published: (2025)
by: Beneventano, Pierfrancesco, et al.
Published: (2025)
From Saddle Points Toward Global Minima: A Newton-Type Method on Wasserstein Space
by: Lascu, Razvan-Andrei, et al.
Published: (2026)
by: Lascu, Razvan-Andrei, et al.
Published: (2026)
Sum-of-norms regularized Nonnegative Matrix Factorization
by: Ang, Andersen, et al.
Published: (2024)
by: Ang, Andersen, et al.
Published: (2024)
Convergence of Alternating Gradient Descent for Matrix Factorization
by: Ward, Rachel, et al.
Published: (2023)
by: Ward, Rachel, et al.
Published: (2023)
Zeroth-Order Optimization Finds Flat Minima
by: Zhang, Liang, et al.
Published: (2025)
by: Zhang, Liang, et al.
Published: (2025)
Fast and Effective Computation of Generalized Symmetric Matrix Factorization
by: Yang, Lei, et al.
Published: (2026)
by: Yang, Lei, et al.
Published: (2026)
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
by: Zhang, Gavin, et al.
Published: (2025)
by: Zhang, Gavin, et al.
Published: (2025)
A Second-Order Majorant Algorithm for Nonnegative Matrix Factorization
by: Pham, Mai-Quyen, et al.
Published: (2023)
by: Pham, Mai-Quyen, et al.
Published: (2023)
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the $β$-divergence
by: Marmin, Arthur, et al.
Published: (2022)
by: Marmin, Arthur, et al.
Published: (2022)
Efficient algorithms for regularized Poisson Non-negative Matrix Factorization
by: Perraudin, Nathanaël, et al.
Published: (2024)
by: Perraudin, Nathanaël, et al.
Published: (2024)
DLMMPR:Deep Learning-based Measurement Matrix for Phase Retrieval
by: Liu, Jing, et al.
Published: (2025)
by: Liu, Jing, et al.
Published: (2025)
Enhancing Accuracy in Deep Learning Using Random Matrix Theory
by: Berlyand, Leonid, et al.
Published: (2023)
by: Berlyand, Leonid, et al.
Published: (2023)
Global Convergence of Four-Layer Matrix Factorization under Random Initialization
by: Luo, Minrui, et al.
Published: (2025)
by: Luo, Minrui, et al.
Published: (2025)
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
by: Hou, Yikun, et al.
Published: (2025)
by: Hou, Yikun, et al.
Published: (2025)
Sparse Hyperparametric Itakura-Saito Nonnegative Matrix Factorization via Bi-Level Optimization
by: Selicato, Laura, et al.
Published: (2025)
by: Selicato, Laura, et al.
Published: (2025)
Provable Acceleration of Nesterov's Accelerated Gradient for Rectangular Matrix Factorization and Linear Neural Networks
by: Xu, Zhenghao, et al.
Published: (2024)
by: Xu, Zhenghao, et al.
Published: (2024)
Sharpness-Aware Minimization Can Hallucinate Minimizers
by: Park, Chanwoong, et al.
Published: (2025)
by: Park, Chanwoong, et al.
Published: (2025)
Critical Influence of Overparameterization on Sharpness-aware Minimization
by: Shin, Sungbin, et al.
Published: (2023)
by: Shin, Sungbin, et al.
Published: (2023)
Sharpness-Aware Minimization: General Analysis and Improved Rates
by: Oikonomou, Dimitris, et al.
Published: (2025)
by: Oikonomou, Dimitris, et al.
Published: (2025)
Lotka-Sharpe Neural Operators for Control of Population PDEs
by: Krstic, Miroslav, et al.
Published: (2026)
by: Krstic, Miroslav, et al.
Published: (2026)
On the Crucial Role of Initialization for Matrix Factorization
by: Li, Bingcong, et al.
Published: (2024)
by: Li, Bingcong, et al.
Published: (2024)
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
by: Gong, Xiaochuan, et al.
Published: (2025)
by: Gong, Xiaochuan, et al.
Published: (2025)
Does SGD Seek Flatness or Sharpness? An Exactly Solvable Model
by: Xu, Yizhou, et al.
Published: (2026)
by: Xu, Yizhou, et al.
Published: (2026)
Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime
by: Zhang, Richard Y.
Published: (2021)
by: Zhang, Richard Y.
Published: (2021)
ROOT-SGD: Sharp Nonasymptotics and Near-Optimal Asymptotics in a Single Algorithm
by: Li, Chris Junchi, et al.
Published: (2020)
by: Li, Chris Junchi, et al.
Published: (2020)
Accelerated Nonnegative Tensor Completion via Integer Programming
by: Pan, Wenhao, et al.
Published: (2022)
by: Pan, Wenhao, et al.
Published: (2022)
Sharp High-Probability Rates for Nonlinear SGD under Heavy-Tailed Noise via Symmetrization
by: Armacki, Aleksandar, et al.
Published: (2025)
by: Armacki, Aleksandar, et al.
Published: (2025)
Convergence of Sharpness-Aware Minimization Algorithms using Increasing Batch Size and Decaying Learning Rate
by: Harada, Hinata, et al.
Published: (2024)
by: Harada, Hinata, et al.
Published: (2024)
State-Dependent Lyapunov Method for Rank-1 Matrix Factorization
by: Moon, Jaehong
Published: (2026)
by: Moon, Jaehong
Published: (2026)
Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2025)
by: Sinha, Abhishek, et al.
Published: (2025)
MOSS: Multi-Objective Optimization for Stable Rule Sets
by: Liu, Brian, et al.
Published: (2025)
by: Liu, Brian, et al.
Published: (2025)
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2023)
by: Sinha, Abhishek, et al.
Published: (2023)
Tight Bounds for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2024)
by: Sinha, Abhishek, et al.
Published: (2024)
Similar Items
-
On the Loss Landscape Geometry of Regularized Deep Matrix Factorization: Uniqueness and Sharpness
by: Kamber, Anil, et al.
Published: (2026) -
Nonasymptotic Convergence Rates for Plug-and-Play Methods With MMSE Denoisers
by: Pritchard, Henry, et al.
Published: (2025) -
Nonnegative Low-rank Matrix Recovery Can Have Spurious Local Minima
by: Zhang, Richard Y.
Published: (2025) -
Implicit Regularization in Perturbed Deep Matrix Factorization: Spectral Conditions and Stability
by: Wang, Jingzhe, et al.
Published: (2026) -
Hidden Minima in Two-Layer ReLU Networks
by: Arjevani, Yossi
Published: (2023)