Sara A. van de Geer
According to our database1, Sara A. van de Geer authored at least 12 papers between 1991 and 2018.
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Asymptotic Confidence Regions for High-Dimensional Structured Sparsity.
IEEE Trans. Signal Processing, 2018
On Tight Bounds for the Lasso.
Journal of Machine Learning Research, 2018
A Framework for the construction of upper bounds on the number of affine linear regions of ReLU feed-forward neural networks.
Sharp Oracle Inequalities for Square Root Regularization.
Journal of Machine Learning Research, 2017
Worst possible sub-directions in high-dimensional models.
J. Multivariate Analysis, 2016
Estimation: An Overview.
Proceedings of the International Encyclopedia of Statistical Science, 2011
Nemirovski's Inequalities Revisited.
The American Mathematical Monthly, 2010
Taking Advantage of Sparsity in Multi-Task Learning.
Proceedings of the COLT 2009, 2009
Asymptotics in Empirical Risk Minimization.
Journal of Machine Learning Research, 2005
A global test for groups of genes: testing association with a clinical outcome.
Asymptotic theory for maximum likelihood in nonparametric mixture models.
Computational Statistics & Data Analysis, 2003
On rates of convergence and asymptotic normality in the multiknapsack problem.
Math. Program., 1991