Pages that link to "Item:Q1747738"

The following pages link to High-dimensional asymptotics of prediction: ridge regression and classification (Q1747738):

Displaying 48 items.

• High-dimensional asymptotics of prediction: ridge regression and classification (Q1747738) (← links)
• On the dimension effect of regularized linear discriminant analysis (Q1786573) (← links)
• High-dimensional linear models: a random matrix perspective (Q2051014) (← links)
• Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices (Q2091833) (← links)
• Surprises in high-dimensional ridgeless least squares interpolation (Q2131262) (← links)
• Ridge regression revisited: debiasing, thresholding and bootstrap (Q2148980) (← links)
• Which bridge estimator is the best for variable selection? (Q2215760) (← links)
• Permutation methods for factor analysis and PCA (Q2215761) (← links)
• Free dynamics of feature learning processes (Q2679634) (← links)
• Most powerful test against a sequence of high dimensional local alternatives (Q2697980) (← links)
• From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation (Q3304841) (← links)
• WONDER: Weighted one-shot distributed ridge regression in high dimensions (Q4969115) (← links)
• (Q4969179) (← links)
• (Q4999109) (← links)
• (Q5011560) (← links)
• A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent* (Q5020045) (← links)
• Limiting Spectral Distribution for Large Sample Covariance Matrices with Graph-Dependent Elements (Q5046631) (← links)
• Learning curves of generic features maps for realistic datasets with a teacher-student model* (Q5055409) (← links)
• Generalization error rates in kernel regression: the crossover from the noiseless to noisy regime* (Q5055412) (← links)
• Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression (Q5066470) (← links)
• (Q5148955) (← links)
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• Prediction risk for the horseshoe regression (Q5381133) (← links)
• Large dimensional analysis of general margin based classification methods (Q5860319) (← links)
• On Genetic Correlation Estimation With Summary Statistics From Genome-Wide Association Studies (Q5881058) (← links)
• Ridge regression and asymptotic minimax estimation over spheres of growing dimension (Q5963493) (← links)
• High-Dimensional Factor Regression for Heterogeneous Subpopulations (Q6039856) (← links)
• Rates of Bootstrap Approximation for Eigenvalues in High-Dimensional PCA (Q6069877) (← links)
• (Q6073208) (← links)
• On polygenic risk scores for complex traits prediction (Q6079464) (← links)
• Cross-Trait Prediction Accuracy of Summary Statistics in Genome-Wide Association Studies (Q6079774) (← links)
• A Universal Trade-off Between the Model Size, Test Loss, and Training Loss of Linear Predictors (Q6090836) (← links)
• Smoothly varying regularization (Q6111520) (← links)
• High-Dimensional Analysis of Double Descent for Linear Regression with Random Projections (Q6151666) (← links)
• Universality of regularized regression estimators in high dimensions (Q6183759) (← links)
• Asymptotic bias of the \(\ell_2\)-regularized error variance estimator (Q6548541) (← links)
• Noise covariance estimation in multi-task high-dimensional linear models (Q6565298) (← links)
• Estimating Trans-Ancestry Genetic Correlation with Unbalanced Data Resources (Q6567877) (← links)
• Ridge Regression Under Dense Factor Augmented Models (Q6567950) (← links)
• Estimation of Linear Functionals in High-Dimensional Linear Models: From Sparsity to Nonsparsity (Q6567951) (← links)
• The common intuition to transfer learning can win or lose: case studies for linear regression (Q6583519) (← links)
• Prior and posterior checking of implicit causal assumptions (Q6589259) (← links)
• On blockwise and reference panel-based estimators for genetic data prediction in high dimensions (Q6608675) (← links)
• On the asymptotic risk of ridge regression with many predictors (Q6623995) (← links)
• Ridge-penalized adaptive mantel test and its application in imaging genetics (Q6628028) (← links)
• In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior (Q6651382) (← links)
• A consistent estimator for confounding strength (Q6652702) (← links)