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On the Double Descent of Random Features Models Trained with SGD

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On the Double Descent of Random Features Models Trained with SGD

13 October 2021

Johan A. K. Suykens

ArXiv (abs)PDF HTML

Papers citing "On the Double Descent of Random Features Models Trained with SGD"

5 / 5 papers shown

MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes

MUSO: Achieving Exact Machine Unlearning in Over-Parameterized RegimesMachine-mediated learning (ML), 2024

426

3

0

11 Oct 2024

Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel
Learning

Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning

Xiaolin Huang

Johan A. K. Suykens

232

2

0

03 Jun 2024

Orthogonal Random Features: Explicit Forms and Sharp Inequalities

Orthogonal Random Features: Explicit Forms and Sharp Inequalities

355

1

0

11 Oct 2023

Gibbs-Based Information Criteria and the Over-Parameterized Regime

Gibbs-Based Information Criteria and the Over-Parameterized RegimeInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023

404

1

0

08 Jun 2023

Double-descent curves in neural networks: a new perspective using
Gaussian processes

Double-descent curves in neural networks: a new perspective using Gaussian processesAAAI Conference on Artificial Intelligence (AAAI), 2021

Bernardo Cuenca Grau

Guillermo Valle Pérez

522

6

0

14 Feb 2021

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