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stat.ML2026
Principal Component Regression Dominates all Monotone Spectral Filters for Linear Regression
Juno Kim, Hengyu Fu, Peter Bartlett +2
We compare the instance-wise, finite-sample risks of monotone spectral filters for linear regression, a broad class of estimators including principal component regression (PCR), gr…
stat.ML2025
Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit
Bohan Zhang, Zihao Wang, Hengyu Fu +1
In deep learning, a central issue is to understand how neural networks efficiently learn high-dimensional features. To this end, we explore the gradient descent learning of a gener…