Tag: cross
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Holdout cross-validation for large non-Gaussian covariance matrix estimation using Weingarten calculus
Holdout cross-validation for large non-Gaussian covariance matrix estimation using Weingarten calculus arXiv:2509.13923v1 Announce Type: cross Abstract: Cross-validation is one of the most widely used methods for model selection and evaluation; its efficiency for large covariance matrix estimation appears robust in practice, but little is known about the theoretical behavior of its error. In this paper,…
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Evaluation and Optimization of Leave-one-out Cross-validation for the Lasso
Evaluation and Optimization of Leave-one-out Cross-validation for the Lasso arXiv:2508.14368v1 Announce Type: new Abstract: I develop an algorithm to produce the piecewise quadratic that computes leave-one-out cross-validation for the lasso as a function of its hyperparameter. The algorithm can be used to find exact hyperparameters that optimize leave-one-out cross-validation either globally or locally, and its…
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MoCA: Multi-modal Cross-masked Autoencoder for Digital Health Measurements
MoCA: Multi-modal Cross-masked Autoencoder for Digital Health Measurements arXiv:2506.02260v1 Announce Type: new Abstract: The growing prevalence of digital health technologies has led to the generation of complex multi-modal data, such as physical activity measurements simultaneously collected from various sensors of mobile and wearable devices. These data hold immense potential for advancing health studies, but current…
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Pairwise Cross-Variance Classification
Pairwise Cross-Variance Classification Multi-class zero-shot embedding classification and error checking The post Pairwise Cross-Variance Classification appeared first on Towards Data Science. Doster Esh Go to original source