Xiyu Zhai
6 papers · 2018–2020 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
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The Questioner
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Trend Setter
Venues
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Research topics
Keywords
reproducing kernel hilbert space
(2)
minimum norm interpolation
(2)
generalization error
(2)
deep neural network
(2)
gradient descent
(2)
neural network optimization
(1)
algorithmic stability
(1)
kernel matrix
(1)
minimum norm
(1)
gradient descent optimization
(1)
generalization bound
(1)
convergence rate
(1)
convolutional neural network
(1)
relu activation
(1)
gradient flow
(1)
generalization guarantee
(1)
training dynamics
(1)
stochastic gradient langevin dynamics
(1)
overparameterized network
(1)
residual network
(1)
Papers
On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels
COLT 2020
Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon
COLT 2019
Gradient Descent Finds Global Minima of Deep Neural Networks
ICML 2019
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
ICLR 2019
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
COLT 2018
How Many Samples are Needed to Estimate a Convolutional Neural Network?
NeurIPS 2018