17 citations · 67 across the 16 of their papers we have counts for
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stat.ML2024★ 1 cited
Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs
Luca Arnaboldi, Yatin Dandi, Florent Krzakala +3
We study the impact of the batch size on the iteration time of training two-layer neural networks with one-pass stochastic gradient descent (SGD) on multi-index target fu…
stat.ML2024
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions
Luca Arnaboldi, Yatin Dandi, Florent Krzakala +2
Neural networks can identify low-dimensional relevant structures within high-dimensional noisy data, yet our mathematical understanding of how they do so remains scarce. Here, we i…