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stat.ML2023
On Learning Gaussian Multi-index Models with Gradient Flow
Alberto Bietti, Joan Bruna, Loucas Pillaud-Vivien
We study gradient flow on the multi-index regression problem for high-dimensional Gaussian data. Multi-index functions consist of a composition of an unknown low-rank linear projec…
cs.LG2023
Symmetric Single Index Learning
Aaron Zweig, Joan Bruna
Few neural architectures lend themselves to provable learning with gradient based methods. One popular model is the single-index model, in which labels are produced by composing an…