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cs.LG2022★ 1 cited
SGD and Weight Decay Secretly Minimize the Rank of Your Neural Network
Tomer Galanti, Zachary S. Siegel, Aparna Gupte +1
We investigate the inherent bias of Stochastic Gradient Descent (SGD) toward learning low-rank weight matrices during the training of deep neural networks. Our results demonstrate…
cs.CR2022
Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures
Aparna Gupte, Neekon Vafa, Vinod Vaikuntanathan
We show direct and conceptually simple reductions between the classical learning with errors (LWE) problem and its continuous analog, CLWE (Bruna, Regev, Song and Tang, STOC 2021).…