
When Do Neural Networks Outperform Kernel Methods?
For a certain scaling of the initialization of stochastic gradient desce...
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Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality
A number of statistical estimation problems can be addressed by semidefi...
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Efficient reconstruction of transmission probabilities in a spreading process from partial observations
An important problem of reconstruction of diffusion network and transmis...
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Meanfield theory of twolayers neural networks: dimensionfree bounds and kernel limit
We consider learning two layer neural networks using stochastic gradient...
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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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Limitations of Lazy Training of Twolayers Neural Networks
We study the supervised learning problem under either of the following t...
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Theodor Misiakiewicz
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