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Papers
Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension
ICML 2025
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
ICLR 2025
Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors
ICLR 2025
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
NeurIPS 2024
Data-splitting improves statistical performance in overparameterized regimes
AISTATS 2022
Ridgeless Regression with Random Features
IJCAI 2022
On the Universality of the Double Descent Peak in Ridgeless Regression
ICLR 2021