Grant Rotskoff
4 papers · 2018–2020 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🐣
Hot Topic Early Bird
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Keywords
neural network
(2)
gradient descent
(2)
game theory
(1)
asymptotic analysis
(1)
nash equilibrium
(1)
generalization error
(1)
mirror descent
(1)
mean squared error
(1)
zero-sum game
(1)
partial differential equation
(1)
mean-field limit
(1)
shallow neural network
(1)
wasserstein gradient flow
(1)
central limit theorem
(1)
birth-death process
(1)
mean-field analysis
(1)
wasserstein-fisher-rao metric
(1)
interacting particle
(1)
stochastic gradient descent
(1)
representation error
(1)
Papers
A Dynamical Central Limit Theorem for Shallow Neural Networks
NeurIPS 2020
A mean-field analysis of two-player zero-sum games
NeurIPS 2020
Neuron birth-death dynamics accelerates gradient descent and converges asymptotically
ICML 2019
Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks
NeurIPS 2018