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06/14/2022
Bandwidth Enables Generalization in Quantum Kernel Models
Quantum computers are known to provide speedups over classical state-of-...
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06/04/2021
Out-of-Distribution Generalization in Kernel Regression
In real word applications, data generating process for training a machin...
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06/01/2021
Asymptotics of representation learning in finite Bayesian neural networks
Recent works have suggested that finite Bayesian neural networks may out...
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06/23/2020
Statistical Mechanics of Generalization in Kernel Regression
Generalization beyond a training dataset is a main goal of machine learn...
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02/07/2020
