Co-occurring keywords · papers mentioning both
Papers
On the implicit regularization of Langevin dynamics with projected noise
COLT 2026
The Distribution of Ridgeless Least Squares Interpolators
JMLR 2026
A Mirror Descent Perspective of Smoothed Sign Descent
UAI 2025
Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
ICML 2025
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
ICML 2025
Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent
ICML 2025
Mask in the Mirror: Implicit Sparsification
ICLR 2025
Stochastic Rounding for LLM Training: Theory and Practice
AISTATS 2025
Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
ICLR 2025
Acceleration and Implicit Regularization in Gaussian Phase Retrieval
AISTATS 2024
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
NeurIPS 2024
Deep linear networks for regression are implicitly regularized towards flat minima
NeurIPS 2024
Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection
IJCAI 2024
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity
AISTATS 2024
Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
ICML 2024
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression
NeurIPS 2024
Implicit regularization of deep residual networks towards neural ODEs
ICLR 2024
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
NeurIPS 2024
Implicit Regularization Paths of Weighted Neural Representations
NeurIPS 2024
Improving Generalization and Convergence by Enhancing Implicit Regularization
NeurIPS 2024
Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks
AISTATS 2024
NoisyMix: Boosting Model Robustness to Common Corruptions
AISTATS 2024
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics
NeurIPS 2024
Understanding Surprising Generalization Phenomena in Deep Learning
AAAI 2024
Using Noise to Infer Aspects of Simplicity Without Learning
NeurIPS 2024