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Revisiting the Noise Model of Stochastic Gradient Descent
Barak Battash
,
Lior Wolf
, Ofir Lindenbaum
School of Computer Science and AI
Bar-Ilan University
Research output
:
Contribution to journal
›
Conference article
›
peer-review
9
Scopus citations
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Dive into the research topics of 'Revisiting the Noise Model of Stochastic Gradient Descent'. Together they form a unique fingerprint.
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Keyphrases
Noise Model
100%
Stochastic Gradient Descent
100%
Stochastic Gradient
100%
Gradient Noise
100%
Local Minima
40%
Central Limit Theorem
20%
Accurate Characterization
20%
Gaussian Noise Model
20%
Noise Properties
20%
Network Parameters
20%
Stochastic Differential Equations
20%
Lvy Processes
20%
Dataset Model
20%
Multiple Models
20%
Mean Escape Time
20%
Descent Property
20%
Neural Network Optimization
20%
Computer Science
Gradient Descent
100%
Local Minimum
50%
Neural Network
25%
Stochastic Differential
25%
Network Parameter
25%
Network Optimization
25%
Gaussian White Noise
25%
Mathematics
Stochastics
100%
Local Minimum
22%
Gaussian Distribution
11%
Central Limit Theorem
11%
Neural Network
11%
Stochastic Differential Equation
11%
Network Optimization
11%
Multiple Model
11%
Lvy Process
11%
Random Noise
11%
Neuroscience
Neural Network
100%