Jason W. Rocks | DeepAI

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∙ 03/24/2023

Double Descent Demystified: Identifying, Interpreting Ablating the Sources of a Deep Learning Puzzle

Double descent is a surprising phenomenon in machine learning, in which ...

0 Rylan Schaeffer, et al. ∙

∙ 03/10/2022

Bias-variance decomposition of overparameterized regression with random linear features

In classical statistics, the bias-variance trade-off describes how varyi...

3 Jason W. Rocks, et al. ∙

∙ 03/25/2021

The Geometry of Over-parameterized Regression and Adversarial Perturbations

Classical regression has a simple geometric description in terms of a pr...

0 Jason W. Rocks, et al. ∙

∙ 12/01/2020

The Perturbative Resolvent Method: spectral densities of random matrix ensembles via perturbation theory

We present a simple, perturbative approach for calculating spectral dens...

0 Wenping Cui, et al. ∙

∙ 10/26/2020

Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models

The bias-variance trade-off is a central concept in supervised learning....

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