
When Do Neural Networks Outperform Kernel Methods?
For a certain scaling of the initialization of stochastic gradient desce...
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Limitations of Lazy Training of Twolayers Neural Networks
We study the supervised learning problem under either of the following t...
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Linearized twolayers neural networks in high dimension
We consider the problem of learning an unknown function f_ on the ddime...
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An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
To understand the dynamics of optimization in deep neural networks, we d...
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Optimal Covariance Estimation for Condition Number Loss in the Spiked Model
We study estimation of the covariance matrix under relative condition nu...
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An Instability in Variational Inference for Topic Models
Topic models are Bayesian models that are frequently used to capture the...
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Behrooz Ghorbani
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