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stat.ML2026
Depth Separation for Neural Networks under Gaussian Measure
Cynthia Bortolotto, Francisco Ganacim, Roberto I. Oliveira
We revisit the problem of depth separation for neural networks, as studied by Eldan and Shamir, Daniely, and others. Specifically, we consider the natural setting of approxim…
stat.ML2026
Mean Testing under Truncation beyond Gaussian
Yuhao Wang, Roberto Imbuzeiro Oliveira, Themis Gouleakis
We characterize the fundamental limits of high-dimensional mean testing under arbitrary truncation, where samples are drawn from the conditional distribution for…