David Belius
4 papers · 2022–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Hot Topic Early Bird
Venues
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Research topics
Keywords
kernel ridge regression
(2)
feature learning
(1)
transfer learning
(1)
generalization error
(1)
spectral analysis
(1)
condition number
(1)
generalization bound
(1)
convolutional neural network
(1)
random feature
(1)
learning curve
(1)
spectral eigen-decay
(1)
test error
(1)
generalization performance
(1)
non-asymptotic bound
(1)
gaussian design
(1)
kernel methods
(1)
gaussian equivalent property
(1)
exponential decay
(1)
polynomial decay
(1)
kernel ridgeless regression
(1)
Papers
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
NeurIPS 2024
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
ICML 2024
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
NeurIPS 2023
Feature learning and random features in standard finite-width convolutional neural networks: An empirical study
UAI 2022