Co-occurring keywords · papers mentioning both
Papers
Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning
JMLR 2025
Multiple Descent in the Multiple Random Feature Model
JMLR 2024
Simplicity Bias in Overparameterized Machine Learning
AAAI 2024
On Generalization of Decentralized Learning with Separable Data
AISTATS 2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
ICML 2023
Generalization for multiclass classification with overparameterized linear models
NeurIPS 2022
Benign Overfitting of Constant-Stepsize SGD for Linear Regression
COLT 2021
The Benefits of Implicit Regularization from SGD in Least Squares Problems
NeurIPS 2021
Accelerating SGD with momentum for over-parameterized learning
ICLR 2020
How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective
NeurIPS 2018