Pages that link to "Item:Q681518"

The following pages link to On the impact of predictor geometry on the performance on high-dimensional ridge-regularized generalized robust regression estimators (Q681518):

Displaying 27 items.

• Index theorem for \(\mathbb{Z}/2\)-harmonic spinors (Q1727885) (← links)
• High-dimensional asymptotics of prediction: ridge regression and classification (Q1747738) (← links)
• Asymptotic properties on high-dimensional multivariate regression M-estimation (Q2022560) (← links)
• High-dimensional linear models: a random matrix perspective (Q2051014) (← links)
• The distribution of the Lasso: uniform control over sparse balls and adaptive parameter tuning (Q2054498) (← links)
• Precise statistical analysis of classification accuracies for adversarial training (Q2091832) (← links)
• Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices (Q2091833) (← links)
• An \({\ell_p}\) theory of PCA and spectral clustering (Q2091846) (← links)
• Asymptotic normality of robust \(M\)-estimators with convex penalty (Q2106774) (← links)
• Fundamental barriers to high-dimensional regression with convex penalties (Q2119224) (← links)
• The asymptotic distribution of the MLE in high-dimensional logistic models: arbitrary covariance (Q2137045) (← links)
• A precise high-dimensional asymptotic theory for boosting and minimum-\(\ell_1\)-norm interpolated classifiers (Q2148995) (← links)
• The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models (Q2209841) (← links)
• The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square (Q2273603) (← links)
• Spectral method and regularized MLE are both optimal for top-\(K\) ranking (Q2313284) (← links)
• Critical behavior and universality classes for an algorithmic phase transition in sparse reconstruction (Q2316055) (← links)
• Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval (Q2425162) (← links)
• Nonconvex Low-Rank Tensor Completion from Noisy Data (Q5080674) (← links)
• Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization (Q5131966) (← links)
• Penalization-induced shrinking without rotation in high dimensional GLM regression: a cavity analysis (Q5878730) (← links)
• Conditional predictive inference for stable algorithms (Q6042347) (← links)
• Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares (Q6110712) (← links)
• Noisy linear inverse problems under convex constraints: exact risk asymptotics in high dimensions (Q6183752) (← links)
• Universality of regularized regression estimators in high dimensions (Q6183759) (← links)
• The curse of overparametrization in adversarial training: precise analysis of robust generalization for random features regression (Q6550964) (← links)
• Inference for heteroskedastic PCA with missing data (Q6550970) (← links)
• An adaptively resized parametric bootstrap for inference in high-dimensional generalized linear models (Q6671909) (← links)