Cover Image

The Origin of Edge of Stability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Litman, Elon
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scaled-Dot-Product Attention as One-Sided Entropic Optimal Transport
by: Litman, Elon
Published: (2025)

Equilibrium Propagation Without Limits
by: Litman, Elon
Published: (2025)

A Theory of Generalization in Deep Learning
by: Litman, Elon, et al.
Published: (2026)

You Need Better Attention Priors
by: Litman, Elon, et al.
Published: (2026)

ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space
by: Guo, Gabe, et al.
Published: (2026)

Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD
by: Andreyev, Arseniy, et al.
Published: (2024)

Product-Stability: Provable Convergence for Gradient Descent on the Edge of Stability
by: Gan, Eric
Published: (2026)

Adaptive Gradient Methods at the Edge of Stability
by: Cohen, Jeremy M., et al.
Published: (2022)

Optimizer Dynamics at the Edge of Stability with Differential Privacy
by: Hussain, Ayana, et al.
Published: (2025)

Training on the Edge of Stability Is Caused by Layerwise Jacobian Alignment
by: Lowell, Mark, et al.
Published: (2024)

A Minimalist Example of Edge-of-Stability and Progressive Sharpening
by: Liu, Liming, et al.
Published: (2025)

Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
by: Jiang, Kaiqi, et al.
Published: (2025)

Generalization Below the Edge of Stability: The Role of Data Geometry
by: Liang, Tongtong, et al.
Published: (2025)

Variational Learning Finds Flatter Solutions at the Edge of Stability
by: Ghosh, Avrajit, et al.
Published: (2025)

Feature Learning Beyond the Edge of Stability
by: Terjék, Dávid
Published: (2025)

Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization
by: Matveev, Maria, et al.
Published: (2025)

Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability
by: Ghosh, Avrajit, et al.
Published: (2025)

Sharpness-Aware Minimization and the Edge of Stability
by: Long, Philip M., et al.
Published: (2023)

Generalization at the Edge of Stability
by: Tuci, Mario, et al.
Published: (2026)

Does Sparse Connectivity Improve Generalization? Convolutional Networks Below the Edge of Stability
by: Liang, Tongtong, et al.
Published: (2026)

Non-Euclidean Gradient Descent Operates at the Edge of Stability
by: Islamov, Rustem, et al.
Published: (2026)

Zeroth-Order Optimization at the Edge of Stability
by: Song, Minhak, et al.
Published: (2026)

Pragmatic Policy Development via Interpretable Behavior Cloning
by: Matsson, Anton, et al.
Published: (2025)

ZC-Swish: Stabilizing Deep BN-Free Networks for Edge and Micro-Batch Applications
by: Basak, Suvinava
Published: (2026)

Grokking at the Edge of Numerical Stability
by: Prieto, Lucas, et al.
Published: (2025)

SGD at the Edge of Stability: The Stochastic Sharpness Gap
by: Liao, Fangshuo, et al.
Published: (2026)

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime
by: Zhang, Peiyuan, et al.
Published: (2024)

Convergence Rates for Gradient Descent on the Edge of Stability in Overparametrised Least Squares
by: MacDonald, Lachlan Ewen, et al.
Published: (2025)

Momentum Further Constrains Sharpness at the Edge of Stochastic Stability
by: Andreyev, Arseniy, et al.
Published: (2026)

A Rod Flow Model for Adam at the Edge of Stability
by: Regis, Eric, et al.
Published: (2026)

Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory
by: Tamamori, Akira
Published: (2025)

EdgeRAG: Online-Indexed RAG for Edge Devices
by: Seemakhupt, Korakit, et al.
Published: (2024)

EdgeFlex-Transformer: Transformer Inference for Edge Devices
by: Mohammad, Shoaib, et al.
Published: (2025)

A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks
by: Sun, Yuxin, et al.
Published: (2022)

Rod Flow: A Continuous-Time Model for Gradient Descent at the Edge of Stability
by: Regis, Eric, et al.
Published: (2026)

Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms
by: Bu, Fanchen, et al.
Published: (2024)

EdgeFLow: Serverless Federated Learning via Sequential Model Migration in Edge Networks
by: Shi, Yuchen, et al.
Published: (2026)

Advancing Edge Classification through High-Dimensional Causal Modeling of Node-Edge Interplay
by: Feng, Duanyu, et al.
Published: (2026)

On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
by: Zhioua, Sami, et al.
Published: (2025)

Decoding Musical Origins: Distinguishing Human and AI Composers
by: Tsai, Cheng-Yang, et al.
Published: (2025)