Alexander Atanasov
7 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Keywords
feature learning
(3)
representation learning
(3)
neural tangent kernel
(2)
neural network optimization
(2)
lazy training
(2)
time series
(1)
gradient descent
(1)
generalization error
(1)
kernel regression
(1)
spectral learning
(1)
scaling law
(1)
random feature model
(1)
infinite width
(1)
variance analysis
(1)
correlated sample
(1)
generalized cross-validation
(1)
infinite-width limit
(1)
neural scaling law
(1)
finite width analysis
(1)
kernel regime
(1)
Papers
How Feature Learning Can Improve Neural Scaling Laws
ICLR 2025
Risk and cross validation in ridge regression with correlated samples
ICML 2025
The Optimization Landscape of SGD Across the Feature Learning Strength
ICLR 2025
A Dynamical Model of Neural Scaling Laws
ICML 2024
Feature-Learning Networks Are Consistent Across Widths At Realistic Scales
NeurIPS 2023
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
ICLR 2023
Neural Networks as Kernel Learners: The Silent Alignment Effect
ICLR 2022