149 citations · 453 across the 21 of their papers we have counts for
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cond-mat.dis-nn2019★ 1 cited
Large deviations for the perceptron model and consequences for active learning
Hugo Cui, Luca Saglietti, Lenka Zdeborová
Active learning is a branch of machine learning that deals with problems where unlabeled data is abundant yet obtaining labels is expensive. The learning algorithm has the possibil…
cond-mat.dis-nn2019★ 2 cited
Generalized Approximate Survey Propagation for High-Dimensional Estimation
Luca Saglietti, Yue M. Lu, Carlo Lucibello
In Generalized Linear Estimation (GLE) problems, we seek to estimate a signal that is observed through a linear transform followed by a component-wise, possibly nonlinear and noisy…