On Kernel Regression with Data-Dependent Kernels

On kernel-target alignment

Nello Cristianini, John Shawe-Taylor, Andre Elisseeff, and Jaz Kandola · 2001

Earlier work this paper cites.

Multiple kernel learning algorithms

Mehmet Gönen and Ethem Alpaydın · 2011

Earlier work this paper cites.

Algorithms for learning kernels based on centered alignment

Corinna Cortes, Mehryar Mohri, and Afshin Rostamizadeh · 2012

Earlier work this paper cites.

Learning kernels with random features

Aman Sinha and John C Duchi · 2016

Earlier work this paper cites.

Neural tangent kernel: Convergence and generalization in neural networks

Arthur Jacot, Clément Hongler, and Franck Gabriel · 2018

Earlier work this paper cites.

Deep neural networks as gaussian processes

Jaehoon Lee, Yasaman Bahri, Roman Novak, Samuel S. Schoenholz, Jeffrey Pennington, and Jascha Sohl-Dickstein · 2018

Cited alongside, same era.

Gaussian process behaviour in wide deep neural networks

Original

Alexander G de G Matthews, Mark Rowland, Jiri Hron, Richard E Turner, and Zoubin Ghahramani · 2018

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Wide neural networks of any depth evolve as linear models under gradient descent

Jaehoon Lee, Lechao Xiao, Samuel S. Schoenholz, Yasaman Bahri, Roman Novak, Jascha Sohl-Dickstein, and Jeffrey Pennington · 2019

Cited alongside, same era.

Spectrum dependent learning curves in kernel regression and wide neural networks

Blake Bordelon, Abdulkadir Canatar, and Cengiz Pehlevan · 2020

Cited alongside, same era.

Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the neural tangent kernel

Stanislav Fort, Gintare Karolina Dziugaite, Mansheej Paul, Sepideh Kharaghani, Daniel M Roy, and Surya Ganguli · 2020

Cited alongside, same era.

Kernel alignment risk estimator: risk prediction from training data

Original

Arthur Jacot, Berfin Şimşek, Francesco Spadaro, Clément Hongler, and Franck Gabriel · 2020

Later among the works it cites.

Neural networks as kernel learners: The silent alignment effect

Original

Alexander Atanasov, Blake Bordelon, and Cengiz Pehlevan · 2021

Later among the works it cites.

Implicit regularization via neural feature alignment

Aristide Baratin, Thomas George, César Laurent, R Devon Hjelm, Guillaume Lajoie, Pascal Vincent, and Simon Lacoste-Julien · 2021

Later among the works it cites.

Properties of the after kernel

Original

Philip M Long · 2021

Later among the works it cites.

Limitations of the ntk for understanding generalization in deep learning

Original