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Home/Authors/Jeffrey Pennington

Jeffrey Pennington

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

8

papers

485

total citations

papers (8)

Finite Versus Infinite Neural Networks: an Empirical Study

NEURIPS 2020arXiv

Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition

NEURIPS 2020arXiv

The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks

NEURIPS 2020arXiv

Scaling Exponents Across Parameterizations and Optimizers

Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions

NEURIPS 2022arXiv

Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks

Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression

Overparameterization Improves Robustness to Covariate Shift in High Dimensions