We provide the first exact non-asymptotic expressions for double descent of the minimum norm linear estimator.

We provide the first exact non-asymptotic expressions for double descent of the minimum norm linear estimator. Our approach involves constructing a spe- cial ...

Dec 6, 2020 · This surrogate design admits exact expressions for the mean squared error of the estimator while preserving the key properties of the standard ...

The goal of the paper is to calculate the mean squared error (MSE) in a non-asymptotic regime. This is achieved by constructing surrogate random design using ...

Exact expressions for double descent and implicit regularization via surrogate random design. Michael W. Mahoney. ICSI and Department of Statistics, UC ...

Sep 11, 2024 · Our approach involves constructing what we call a surrogate random design to replace the standard i.i.d. design of the training sample. This ...

Jun 18, 2020 · We provide the first exact non-asymptotic expressions for double descent of the minimum norm linear estimator. Our approach involves ...

Dec 10, 2019 · This work provides the first exact non-asymptotic expressions for double descent of the minimum norm linear estimator and introduces a new ...

Feynman T Liang · Exact expressions for double descent and implicit regularization via surrogate… random design. Watch later. Favorite. Share presentation.

Dec 3, 2020 · Bibliographic details on Exact expressions for double descent and implicit regularization via surrogate random design.