Xiyu Zhai
6 papers · 2018–2020 · 4 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (10) 🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer
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The Questioner
Conferences
COLT (3)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
generalization error
(2)
deep neural network
(2)
non-convex optimization
(1)
global convergence
(1)
sample complexity
(1)
gradient descent
(1)
algorithmic stability
(1)
minimum norm
(1)
gradient descent optimization
(1)
generalization bound
(1)
convolutional neural network
(1)
gradient flow
(1)
training dynamics
(1)
stochastic gradient langevin dynamics
(1)
residual network
(1)
global minimum
(1)
over-parameterized network
(1)
empirical process
(1)
pac-bayesian theory
(1)
kernel hilbert space
(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 Provably Optimizes Over-parameterized Neural Networks
ICLR 2019
Gradient Descent Finds Global Minima of Deep Neural Networks
ICML 2019
How Many Samples are Needed to Estimate a Convolutional Neural Network?
NIPS 2018
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
COLT 2018