ENTITY
stochastic gradient descent (SGD)
stochastic gradient descent (SGD)
PulseAugur coverage of stochastic gradient descent (SGD) — every cluster mentioning stochastic gradient descent (SGD) across labs, papers, and developer communities, ranked by signal.
Total · 30d
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2 over 90d
Releases · 30d
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0 over 90d
Papers · 30d
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2 over 90d
TIER MIX · 90D
TOPICS
RECENT · PAGE 1/1 · 2 TOTAL
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New method optimizes PL-SGD with Markovian noise for improved bounds
Researchers have developed a new method for optimizing smooth objectives that satisfy the Polyak-Łojasiewicz (PL) condition, particularly when gradient samples are influenced by Markovian noise. This approach establishe…
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Neural networks learn image features via Fourier analysis
Researchers have explored the learning dynamics of neural networks through a Fourier perspective, focusing on how they learn simpler features before more complex ones. Their work introduces a synthetic data model for tr…