most citedFundamental computational limits of weak learnability in high-dimensional multi-index models

2 citations · 4 across the 6 of their papers we have counts for

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stat.ML2024

Building Conformal Prediction Intervals with Approximate Message Passing

Lucas Clarté, Lenka Zdeborová

Conformal prediction has emerged as a powerful tool for building prediction intervals that are valid in a distribution-free way. However, its evaluation may be computationally cost…

stat.ML2024

Bayes-optimal learning of an extensive-width neural network from quadratically many samples

Antoine Maillard, Emanuele Troiani, Simon Martin +2

We consider the problem of learning a target function corresponding to a single hidden layer neural network, with a quadratic activation function after the first layer, and random…