15 citations · 30 across the 16 of their papers we have counts for
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stat.ML2026
Uniform-in-Time Weak Propagation-of-Chaos in Shallow Neural Networks
Margalit Glasgow, Joan Bruna
We consider one-hidden layer neural networks trained in the feature-learning regime using gradient descent, and relate the output of the finite-width network to its…
stat.ML2025
Propagation of Chaos in One-hidden-layer Neural Networks beyond Logarithmic Time
Margalit Glasgow, Denny Wu, Joan Bruna
We study the approximation gap between the dynamics of a polynomial-width neural network and its infinite-width counterpart, both trained using projected gradient descent in the me…
stat.ML2020★ 15 cited
Approximate Gradient Coding with Optimal Decoding
Margalit Glasgow, Mary Wootters
In distributed optimization problems, a technique called gradient coding, which involves replicating data points, has been used to mitigate the effect of straggling machines. Recen…