Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design
stat.ML, cs.IT, cs.LG, math.IT
Submitted: 2026-06-19
Updated: 2026-09-26
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Robust Uniform Recovery of Structured Signals from Nonlinear Observations
- Finite-sample performance of the maximum likelihood estimator in logistic regression
- A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization
- Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere?
- Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes
- Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
- Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes
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