On rates of convergence and asymptotic normality in the multiknapsack problem. - Sara A. van de Geer; Leen Stougie (Math. Program., 1991)

Probabilistic analysis of the minimum weighted flowtime scheduling problem. - Alberto Marchetti-Spaccamela; Wan Soo Rhee; Leen Stougie; Sara A. van de Geer (Oper. Res. Lett., 1992)

Asymptotic theory for maximum likelihood in nonparametric mixture models. - Sara A. van de Geer (Comput. Stat. Data Anal., 2003)

A global test for groups of genes: testing association with a clinical outcome. - Jelle J. Goeman; Sara A. van de Geer; Floor de Kort; Hans C. van Houwelingen (Bioinform., 2004)

Asymptotics in Empirical Risk Minimization. - Leila Mohammadi; Sara A. van de Geer (J. Mach. Learn. Res., 2005)

Taking Advantage of Sparsity in Multi-Task Learning. - Karim Lounici; Massimiliano Pontil; Alexandre B. Tsybakov; Sara A. van de Geer (COLT, 2009)

Nemirovski's Inequalities Revisited. - Lutz Dümbgen; Sara A. van de Geer; Mark Veraar; Jon A. Wellner (Am. Math. Mon., 2010)

Estimation: An Overview. - Sara A. van de Geer (International Encyclopedia of Statistical Science, 2011)

Worst possible sub-directions in high-dimensional models. - Sara A. van de Geer (J. Multivar. Anal., 2016)

Sharp Oracle Inequalities for Square Root Regularization. - Benjamin Stucky; Sara A. van de Geer (J. Mach. Learn. Res., 2017)

On Tight Bounds for the Lasso. - Sara A. van de Geer (J. Mach. Learn. Res., 2018)

Asymptotic Confidence Regions for High-Dimensional Structured Sparsity. - Benjamin Stucky; Sara A. van de Geer (IEEE Trans. Signal Process., 2018)

Sharp Oracle Inequalities for Stationary Points of Nonconvex Penalized M-Estimators. - Andreas Elsener; Sara A. van de Geer (IEEE Trans. Inf. Theory, 2019)

A Framework for the Construction of Upper Bounds on the Number of Affine Linear Regions of ReLU Feed-Forward Neural Networks. - Peter Hinz; Sara A. van de Geer (IEEE Trans. Inf. Theory, 2019)

Minimum 𝓁1-norm interpolation via basis pursuit is robust to errors. - Geoffrey Chinot; Matthias Löffler; Sara A. van de Geer (CoRR, 2020)

Convergence Rates for Penalized Least Squares Estimators in PDE Constrained Regression Problems. - Richard Nickl; Sara A. van de Geer; Sven Wang (SIAM/ASA J. Uncertain. Quantification, 2020)

AdaBoost and robust one-bit compressed sensing. - Geoffrey Chinot; Felix Kuchelmeister; Matthias Löffler; Sara A. van de Geer (CoRR, 2021)

De-Biased Sparse PCA: Inference for Eigenstructure of Large Covariance Matrices. - Jana Janková; Sara A. van de Geer (IEEE Trans. Inf. Theory, 2021)