Abdulkadir Canatar

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 12

Top Topics

Nadaraya Watson

Kernel Regression

Learning Curves

Top Venues

Publications

Abdulkadir Canatar, Jenelle Feather, Albert J. Wakhloo, SueYeon Chung
A Spectral Theory of Neural Prediction and Alignment. CoRR (2023)
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
Bandwidth Enables Generalization in Quantum Kernel Models. Trans. Mach. Learn. Res. 2023 (2023)
Abdulkadir Canatar, Jenelle Feather, Albert J. Wakhloo, SueYeon Chung
A Spectral Theory of Neural Prediction and Alignment. NeurIPS (2023)
Abdulkadir Canatar, Cengiz Pehlevan
A Kernel Analysis of Feature Learning in Deep Neural Networks. Allerton (2022)
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
Bandwidth Enables Generalization in Quantum Kernel Models. CoRR (2022)
Jacob A. Zavatone-Veth, Abdulkadir Canatar, Benjamin S. Ruben, Cengiz Pehlevan
Asymptotics of representation learning in finite Bayesian neural networks. NeurIPS (2021)
Jacob A. Zavatone-Veth, Abdulkadir Canatar, Cengiz Pehlevan
Asymptotics of representation learning in finite Bayesian neural networks. CoRR (2021)
Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
Out-of-Distribution Generalization in Kernel Regression. CoRR (2021)
Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
Out-of-Distribution Generalization in Kernel Regression. NeurIPS (2021)
Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
Statistical Mechanics of Generalization in Kernel Regression. CoRR (2020)
Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks. CoRR (2020)
Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks. ICML (2020)