Sara A. van de Geer

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All published works

Action	Title	Year	Authors
+	Minimum 𝓁 1 -norm interpolation via basis pursuit is robust to errors.	2020	Geoffrey Chinot Matthias Löffler Sara A. van de Geer
+	On Tight Bounds for the Lasso	2018	Sara A. van de Geer
+	Sharp Oracle Inequalities for Square Root Regularization	2017	Benjamin Stucky Sara A. van de Geer
+	Estimation: General Aspects	2014	Sara A. van de Geer
+	Estimation: An Overview.	2011	Sara A. van de Geer
+	The Smooth-Lasso and other $\ell_1+\ell_2$-penalized methods	2010	Mohamed Hebiri Sara A. van de Geer
+ PDF Chat	Nemirovski's Inequalities Revisited	2010	Lutz Dümbgen Sara A. van de Geer Mark Veraar Jon A. Wellner
+	Taking Advantage of Sparsity in Multi-Task Learning	2009	Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara A. van de Geer
+ PDF Chat	On the conditions used to prove oracle results for the Lasso	2009	Sara A. van de Geer Peter Bühlmann
+ PDF Chat	High-dimensional generalized linear models and the lasso	2008	Sara A. van de Geer
+	Estimation	2007	Sara A. van de Geer
+ PDF Chat	On non-asymptotic bounds for estimation in generalized linear models with highly correlated design	2007	Sara A. van de Geer
+ PDF Chat	Classifiers of support vector machine type with \ell1 complexity regularization	2006	Bernadetta Tarigan Sara A. van de Geer
+ PDF Chat	Regularization in statistics	2006	Peter J. Bickel Bo Li Alexandre B. Tsybakov Sara A. van de Geer Bin Yu Teófilo Valdés Carlos Rivero Jianqing Fan Aad van der Vaart
+	Testing Against a High Dimensional Alternative	2006	Jelle J. Goeman Sara A. van de Geer Hans C. van Houwelingen
+	On nonnegative garrote estimator in a linear regression model	2006	Leila Mohammadi Sara A. van de Geer
+ PDF Chat	Square root penalty: Adaptation to the margin in classification and in edge estimation	2005	A. B. Tsybakov Sara A. van de Geer
+	Least Squares Estimation	2005	Sara A. van de Geer
+	Estimation	2005	Sara A. van de Geer
+	Square root penalty : Adaptation to the margin in classification and in edge estimation	2005	A. B. Tsybakov Sara A. van de Geer
+	Predicting survival using disease history: a model combining relative survival and frailty	2004	Jelle J. Goeman Saskia le Cessie Robert J. Baatenburg de Jong Sara A. van de Geer
+	Adaptive quantile regression	2003	Sara A. van de Geer
+	On Hoeffding’s Inequality for Dependent Random Variables	2002	Sara A. van de Geer
+	Empirical Processes in M-Estimation	2000	Sara A. van de Geer
+	Applications of empirical process theory	2000	Sara A. van de Geer

Common Coauthors

Coauthor	Papers Together
A. B. Tsybakov	2
Jelle J. Goeman	2
Alexandre B. Tsybakov	2
Peter J. Bickel	1
Jon A. Wellner	1
Leila Mohammadi	1
Peter Bühlmann	1
Massimiliano Pontil	1
Teófilo Valdés	1
Matthias Löffler	1
Bernadetta Tarigan	1
Karim Lounici	1
Geoffrey Chinot	1
Hans C. van Houwelingen	1
Robert J. Baatenburg de Jong	1
Benjamin Stucky	1
Saskia le Cessie	1
Mark Veraar	1
Bo Li	1
Jianqing Fan	1
Lutz Dümbgen	1
Bin Yu	1
Carlos Rivero	1
Aad van der Vaart	1
Mohamed Hebiri	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Empirical Processes in M-Estimation	2000	Sara A. van de Geer	7
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	7
+	Probability in Banach Spaces: Isoperimetry and Processes	1991	Michel Ledoux Michel Talagrand	5
+	Smooth discrimination analysis	1999	Enno Mammen Alexandre B. Tsybakov	4
+ PDF Chat	Sparsity oracle inequalities for the Lasso	2007	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp	4
+ PDF Chat	Some applications of concentration inequalities to statistics	2000	Pascal Massart	4
+ PDF Chat	Optimal aggregation of classifiers in statistical learning	2004	A. B. Tsybakov	4
+ PDF Chat	Aggregation for Gaussian regression	2007	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp	4
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	4
+	Weak Convergence and Empirical Processes: With Applications to Statistics	1996	Jon A. Wellner	3
+	Adaptive quantile regression	2003	Sara A. van de Geer	3
+ PDF Chat	Risk bounds for model selection via penalization	1999	Andrew R. Barron Lucien Birgé Pascal Massart	3
+ PDF Chat	Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators	2008	Karim Lounici	3
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	3
+	Ideal spatial adaptation by wavelet shrinkage	1994	David L. Donoho Iain M. Johnstone	3
+ PDF Chat	About the constants in Talagrand's concentration inequalities for empirical processes	2000	Pascal Massart	3
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	3
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	3
+ PDF Chat	Lasso-type recovery of sparse representations for high-dimensional data	2009	Nicolai Meinshausen Bin Yu	3
+	A Probabilistic Theory of Pattern Recognition	1996	Luc Devroye László Györfi Gábor Lugosi	3
+	On Model Selection Consistency of Lasso	2006	Peng Zhao Bin Yu	3
+	Empirical Processes in M-Estimation	2001	S. Rao Jammalamadaka	3
+ PDF Chat	High-dimensional generalized linear models and the lasso	2008	Sara A. van de Geer	3
+ PDF Chat	The Group Lasso for Logistic Regression	2008	Lukas Meier Sara van de Geer Peter Bühlmann	3
+	Weak Convergence and Empirical Processes	1996	Aad van der Vaart Jon A. Wellner	3
+ PDF Chat	The sparsity and bias of the Lasso selection in high-dimensional linear regression	2008	Cun-Hui Zhang Jian Huang	2
+ PDF Chat	Square root penalty: Adaptation to the margin in classification and in edge estimation	2005	A. B. Tsybakov Sara A. van de Geer	2
+ PDF Chat	Nemirovski's Inequalities Revisited	2010	Lutz Dümbgen Sara A. van de Geer Mark Veraar Jon A. Wellner	2
+ PDF Chat	A Bennett concentration inequality and its application to suprema of empirical processes	2002	Olivier Bousquet	2
+	Sparse Density Estimation with ℓ1 Penalties	2007	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp	2
+	PIECEWISE-POLYNOMIAL APPROXIMATIONS OF FUNCTIONS OF THE CLASSES $ W_{p}^{\alpha}$	1967	M. Sh. Birman M Z Solomjak	2
+	Empirical Processes: Theory and Applications	1990	David Pollard	2
+	On Model Selection Consistency of Lasso	2006	ZhaoPeng Yubin Yubin	2
+ PDF Chat	On Talagrand's deviation inequalities for product measures	1997	Michel Ledoux	2
+	Aggregation and Sparsity Via ℓ1 Penalized Least Squares	2006	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp	2
+	Consistency of the group Lasso and multiple kernel learning	2007	Francis Bach	2
+	Rademacher penalties and structural risk minimization	2001	Vladimir Koltchinskii	2
+	M-estimation using penalties or sieves	2002	Sara van de Geer	2
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	2
+ PDF Chat	Local asymptotics for quantile smoothing splines	1997	Stephen Portnoy	2
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	2
+ PDF Chat	Quantile smoothing splines	1994	Roger Koenker Pin Ng Stephen Portnoy	2
+	Information Theory and an Extension of the Maximum Likelihood Principle	1998	H. Akaike	2
+	For most large underdetermined systems of linear equations the minimal 𝓁<sub>1</sub>‐norm solution is also the sparsest solution	2006	David L. Donoho	2
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	2
+	Ridge Regression: Biased Estimation for Nonorthogonal Problems	2000	Arthur E. Hoerl Robert W. Kennard	2
+	Wavelets, Approximation, and Statistical Applications	1998	Wolfgang Karl Härdle Gérard Kerkyacharian Dominique Picard A. B. Tsybakov	2
+	Persistence in high-dimensional linear predictor selection and the virtue of overparametrization	2004	Eitan Greenshtein Ya’acov Ritov	2
+	On the rate of convergence of regularized boosting classifiers	2003	Gilles Blanchard Gábor Lugosi Nicolas Vayatis	2
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	2