Grant Rotskoff
4 papers · 2018–2020 · 2 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
(2)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
Conferences
NIPS (3)
ICML (1)
Top co-authors
Keywords
gradient descent
(2)
neural network
(2)
game theory
(1)
asymptotic analysis
(1)
nash equilibrium
(1)
generalization error
(1)
mirror descent
(1)
zero-sum game
(1)
partial differential equation
(1)
mean-field limit
(1)
shallow neural network
(1)
mean-squared error
(1)
wasserstein gradient flow
(1)
central limit theorem
(1)
mean-field analysis
(1)
birth death process
(1)
wasserstein-fisher-rao metric
(1)
interacting particle
(1)
stochastic gradient descent
(1)
representation error
(1)
Papers
A mean-field analysis of two-player zero-sum games
NIPS 2020
A Dynamical Central Limit Theorem for Shallow Neural Networks
NIPS 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
NIPS 2018