Naoki Sato
4 papers · 2023–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Research topics
Keywords
stochastic gradient descent
(2)
generative adversarial network
(2)
non-convex optimization
(1)
convex optimization
(1)
convergence analysis
(1)
convergence rate
(1)
deep neural network
(1)
stationary point
(1)
loss function
(1)
gradient clipping
(1)
momentum method
(1)
conjugate gradient method
(1)
momentum optimization
(1)
batch size
(1)
adaptive method
(1)
heavy-tailed noise
(1)
graduated optimization
(1)
neural network
(1)
multimodal optimization
(1)
two time-scale update rule
(1)
Papers
Vanilla SGD with Momentum Survives Heavy-Tailed Noise: Convergence Analysis without Gradient Clipping or Normalization
UAI 2026
Explicit and Implicit Graduated Optimization in Deep Neural Networks
AAAI 2025
Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks
JMLR 2024
Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
ICML 2023