David Belius
4 papers · 2022–2024 · 3 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
(3)
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Cross-Pollinator
(9)
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Interdisciplinary Bridge
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Keyword Pioneer
Conferences
NIPS (2)
ICML (1)
UAI (1)
Top co-authors
Keywords
kernel ridge regression
(2)
feature learning
(1)
transfer learning
(1)
generalization error
(1)
spectral analysis
(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)
finite-rank kernel
(1)
neural tangent kernel
(1)
network linearization
(1)
Papers
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
NIPS 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
NIPS 2023
Feature learning and random features in standard finite-width convolutional neural networks: An empirical study
UAI 2022