Out-of-Distribution Generalization in Kernel Regression

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Out-of-Distribution Generalization in Kernel Regression

4 June 2021

Abdulkadir Canatar

Cengiz Pehlevan

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Papers citing "Out-of-Distribution Generalization in Kernel Regression"

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Title
Risk and cross validation in ridge regression with correlated samples Alexander B. Atanasov Jacob A. Zavatone-Veth Cengiz Pehlevan 105 5 0 08 Aug 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex Spandan Madan Will Xiao Mingran Cao Hanspeter Pfister Margaret Livingstone Gabriel Kreiman OOD 107 4 0 16 Jun 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 255 10 0 26 May 2024
Towards Understanding Inductive Bias in Transformers: A View From Infinity Itay Lavie Guy Gur-Ari Zohar Ringel 70 1 0 07 Feb 2024
A Spectral Theory of Neural Prediction and Alignment Abdulkadir Canatar J. Feather Albert J. Wakhloo SueYeon Chung OOD 79 15 0 22 Sep 2023
Eight challenges in developing theory of intelligence Haiping Huang 98 7 0 20 Jun 2023
Sparsity-depth Tradeoff in Infinitely Wide Deep Neural Networks Chanwoo Chun Daniel D. Lee BDL 72 2 0 17 May 2023
Learning curves for deep structured Gaussian feature models Jacob A. Zavatone-Veth Cengiz Pehlevan MLT 92 11 0 01 Mar 2023
Bounding generalization error with input compression: An empirical study with infinite-width networks A. Galloway A. Golubeva Mahmoud Salem Mihai Nica Yani Andrew Ioannou Graham W. Taylor MLT AI4CE 76 4 0 19 Jul 2022
Dimensionality Reduction and Wasserstein Stability for Kernel Regression Stephan Eckstein Armin Iske Mathias Trabs 44 4 0 17 Mar 2022