On the Saturation Effects of Spectral Algorithms in Large DimensionsNeural Information Processing Systems (NeurIPS), 2025 |
Neural Network-Based Score Estimation in Diffusion Models: Optimization
and GeneralizationInternational Conference on Learning Representations (ICLR), 2024 |
On the Optimality of Misspecified Kernel Ridge RegressionInternational Conference on Machine Learning (ICML), 2023 |
On the Optimality of Misspecified Spectral AlgorithmsJournal of machine learning research (JMLR), 2023 |
A note on the prediction error of principal component regression in high
dimensionsTheory of Probability and Mathematical Statistics (TPMS), 2022 |
Early stopping for $ L^2 $-boosting in high-dimensional linear modelsAnnals of Statistics (Ann. Stat.), 2022 |
From inexact optimization to learning via gradient concentrationComputational optimization and applications (COA), 2021 |