Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
We analyze the statistical properties of generalized cross-validation (GCV) and leave-one-
out cross-validation (LOOCV) applied to early-stopped gradient descent (GD) in high …
out cross-validation (LOOCV) applied to early-stopped gradient descent (GD) in high …
Exploring the structural basis of crystals that affect nonlinear optical responses: an experimental and machine learning quest
Abstract Machine learning can enable a computational framework to learn from data,
thereby enhancing decision-making for targeted properties. Based on the significance of …
thereby enhancing decision-making for targeted properties. Based on the significance of …
Simultaneous analysis of approximate leave-one-out cross-validation and mean-field inference
PC Bellec - arxiv preprint arxiv:2501.02624, 2025 - arxiv.org
Approximate Leave-One-Out Cross-Validation (ALO-CV) is a method that has been
proposed to estimate the generalization error of a regularized estimator in the high …
proposed to estimate the generalization error of a regularized estimator in the high …