Search Results for author:
Found 4 papers, 1 papers with code
Uncertainty quantification for iterative algorithms in linear models with application to early stopping
The paper proposes novel estimators for the generalization error of the iterate $\hbb^t$ for any fixed iteration $t$ along the trajectory.
A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration
Proteins are essential for life, and their structure determines their function.
Protein Language Model
Protein Secondary Structure Prediction
+1
Corrected generalized cross-validation for finite ensembles of penalized estimators
We provide a non-asymptotic analysis of the CGCV and the two intermediate risk estimators for ensembles of convex penalized estimators under Gaussian features and a linear response model.
Noise Covariance Estimation in Multi-Task High-dimensional Linear Models
Treating the regression coefficients as a nuisance parameter, we leverage the multi-task elastic-net and multi-task lasso estimators to estimate the nuisance.
