106 citations · 317 across the 65 of their papers we have counts for
3 papers · 2 filters
Neural Networks as Kernel Learners: The Silent Alignment Effect
Alexander Atanasov, Blake Bordelon, Cengiz Pehlevan
Neural networks in the lazy training regime converge to kernel machines. Can neural networks in the rich feature learning regime learn a kernel machine with a data-dependent kernel…
Learning Curves for SGD on Structured Features
Blake Bordelon, Cengiz Pehlevan
The generalization performance of a machine learning algorithm such as a neural network depends in a non-trivial way on the structure of the data distribution. To analyze the influ…
Out-of-Distribution Generalization in Kernel Regression
Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
In real word applications, data generating process for training a machine learning model often differs from what the model encounters in the test stage. Understanding how and wheth…