The following pages link to Sara Van De Geer (Q252250):
Displaying 50 items.
- On the robustness of minimum norm interpolators and regularized empirical risk minimizers (Q2091842) (← links)
- AdaBoost and robust one-bit compressed sensing (Q2102435) (← links)
- Tensor denoising with trend filtering (Q2113264) (← links)
- Discussion: ``A significance test for the lasso'' (Q2249838) (← links)
- On the asymptotic variance of the debiased Lasso (Q2326043) (← links)
- Penalized least squares estimation in the additive model with different smoothness for the components (Q2348102) (← links)
- Hellinger-consistency of certain nonparametric maximum likelihood estimators (Q2366725) (← links)
- High-dimensional generalized linear models and the lasso (Q2426617) (← links)
- Confidence sets in sparse regression (Q2443205) (← links)
- On the uniform convergence of empirical norms and inner products, with application to causal inference (Q2452107) (← links)
- Square root penalty: Adaption to the margin in classification and in edge estimation (Q2569239) (← links)
- Classifiers of support vector machine type with \(\ell_1\) complexity regularization (Q2642804) (← links)
- Estimation for high-dimensional linear mixed-effects models using \(\ell_1\)-penalization (Q2911662) (← links)
- χ 2-Confidence Sets in High-Dimensional Regression (Q2956755) (← links)
- Nemirovski's Inequalities Revisited (Q3060151) (← links)
- (Q3093329) (← links)
- (Q3096190) (← links)
- (Q3096699) (← links)
- Asymptotic normality in mixture models (Q3127361) (← links)
- Oracle Inequalities for Local and Global Empirical Risk Minimizers (Q3296182) (← links)
- Testing Against a High Dimensional Alternative (Q3408544) (← links)
- The Group Lasso for Logistic Regression (Q3631444) (← links)
- (Q3655724) (← links)
- (Q4039822) (← links)
- Rates of convergence for the maximum likelihood estimator in mixture models (Q4345900) (← links)
- (Q4389417) (← links)
- (Q4410077) (← links)
- Adaptive estimation with soft thresholding penalties (Q4469574) (← links)
- Predicting survival using disease history: a model combining relative survival and frailty (Q4469592) (← links)
- (Q4524756) (← links)
- On tight bounds for the Lasso (Q4558195) (← links)
- Asymptotic Confidence Regions for High-Dimensional Structured Sparsity (Q4622105) (← links)
- Sharp Oracle Inequalities for Stationary Points of Nonconvex Penalized M-Estimators (Q4629908) (← links)
- Sharp Oracle Inequalities for Square Root Regularization (Q4636972) (← links)
- (Q4944751) (← links)
- Convergence Rates for Penalized Least Squares Estimators in PDE Constrained Regression Problems (Q4960995) (← links)
- De-Biased Sparse PCA: Inference for Eigenstructure of Large Covariance Matrices (Q5001646) (← links)
- Logistic regression with total variation regularization (Q5146339) (← links)
- (Q5149046) (← links)
- Oracle inequalities for square root analysis estimators with application to total variation penalties (Q5155953) (← links)
- A Framework for the Construction of Upper Bounds on the Number of Affine Linear Regions of ReLU Feed-Forward Neural Networks (Q5211507) (← links)
- (Q5216382) (← links)
- Inference in high-dimensional graphical models (Q5224825) (← links)
- The Partial Linear Model in High Dimensions (Q5251496) (← links)
- On non-asymptotic bounds for estimation in generalized linear models with highly correlated design (Q5324535) (← links)
- (Q5373694) (← links)
- Weakly decomposable regularization penalties and structured sparsity (Q5413946) (← links)
- The Lasso, correlated design, and improved oracle inequalities (Q5499696) (← links)
- Rejoinder (Q5915800) (← links)
- Quasi-likelihood and/or robust estimation in high dimensions (Q5965304) (← links)
