Benjamin Stucky

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All published works

Action	Title	Year	Authors
+	Cubulating one-relator products with torsion	2018	Benjamin Stucky
+ PDF Chat	Asymptotic Confidence Regions for High-Dimensional Structured Sparsity	2018	Benjamin Stucky Sara van de Geer
+	Cubulating one-relator products with torsion	2018	Benjamin Stucky
+	Sharp Oracle Inequalities for Square Root Regularization	2017	Benjamin Stucky Sara A. van de Geer
+	χ 2-Confidence Sets in High-Dimensional Regression	2016	Sara van de Geer Benjamin Stucky
+	Sharp Oracle Inequalities for Square Root Regularization	2015	Benjamin Stucky Sara van de Geer
+	$χ^2$-confidence sets in high-dimensional regression	2015	Sara van de Geer Benjamin Stucky

Common Coauthors

Coauthor	Papers Together
Sara van de Geer	4
Sara A. van de Geer	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Weakly decomposable regularization penalties and structured sparsity	2013	Sara van de Geer	3
+	Convex Relaxation for Combinatorial Penalties	2012	Guillaume Obozinski Francis Bach	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+	Structured sparsity and generalization	2012	Andreas Maurer Massimiliano Pontil	2
+	SLOPE is adaptive to unknown sparsity and asymptotically minimax	2016	Weijie Su Emmanuel J. Candès	2
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	2
+ PDF Chat	Adaptive estimation of a quadratic functional by model selection	2000	Béatrice Laurent Pascal Massart	2
+	A Family of Penalty Functions for Structured Sparsity	2010	Jean M. Morales Charles A. Micchelli Massimiliano Pontil	2
+ PDF Chat	Scaled sparse linear regression	2012	Tao Sun C.-H. Zhang	2
+ PDF Chat	Square-root lasso: pivotal recovery of sparse signals via conic programming	2011	Alexandre Belloni Victor Chernozhukov Lei Wang	2
+	Structured sparsity-inducing norms through submodular functions	2010	Francis Bach	2
+	Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion	2011	Vladimir Koltchinskii Karim Lounici Alexandre B. Tsybakov	2
+ PDF Chat	Regularizers for structured sparsity	2011	Charles A. Micchelli Jean M. Morales Massimiliano Pontil	2
+	SLOPE—Adaptive variable selection via convex optimization	2015	Małgorzata Bogdan E. van den Berg Chiara Sabatti Weijie Su Emmanuel J. Candès	2
+ PDF Chat	Optimization with Sparsity-Inducing Penalties	2011	Francis Bach Rodolphe Jenatton Julien Mairal Guillaume Obozinski	1
+ PDF Chat	A boundary criterion for cubulation	2012	Nicolas Bergeron Daniel T. Wise	1
+ PDF Chat	Relative hyperbolicity and relative quasiconvexity for countable groups	2010	G. Christopher Hruska	1
+ PDF Chat	Inference on Treatment Effects after Selection among High-Dimensional Controls	2013	Alexandre Belloni Victor Chernozhukov Christian Hansen	1
+	Confidence intervals and hypothesis testing for high-dimensional regression	2014	Adel Javanmard Andrea Montanari	1
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	1
+ PDF Chat	Pivotal estimation via square-root lasso in nonparametric regression	2013	Lie Wang Victor Chernozhukov Alexandre Belloni	1
+ PDF Chat	Immersing almost geodesic surfaces in a closed hyperbolic three manifold	2012	Jeremy Kahn Vladimir Marković	1
+ PDF Chat	Group Bound: Confidence Intervals for Groups of Variables in Sparse High Dimensional Regression Without Assumptions on the Design	2014	Nicolai Meinshausen	1
+	Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent	2011	Noah Simon J. Friedman Trevor Hastie Rob Tibshirani	1
+	χ 2-Confidence Sets in High-Dimensional Regression	2016	Sara van de Geer Benjamin Stucky	1
+	Adaptive Lasso for sparse high-dimensional regression models	2008	Jian Huang Shuangge Ma Cun Hui Zhang	1
+	Estimation and Testing Under Sparsity	2016	Sara van de Geer	1
+ PDF Chat	Bounds on the Prediction Error of Penalized Least Squares Estimators with Convex Penalty	2017	Pierre Bellec Alexandre B. Tsybakov	1
+ PDF Chat	Asymptotically honest confidence regions for high dimensional parameters by the desparsified conservative Lasso	2017	Mehmet Caner Anders Kock	1
+	Interlacing Families II: Mixed Characteristic Polynomials and the Kadison-Singer Problem	2013	Adam W. Marcus Daniel A. Spielman Nikhil Srivastava	1
+	Optimization with Sparsity-Inducing Penalties	2011	Francis Bach Rodolphe Jenatton Julien Mairal Guillaume Obozinski	1
+ PDF Chat	Relatively hyperbolic groups: intrinsic geometry, algebraic properties, and algorithmic problems	2006	D. Osin	1
+ PDF Chat	The benefit of group sparsity in group inference with de-biased scaled group Lasso	2016	Ritwik Mitra Cun‐Hui Zhang	1
+	Decreasing Weighted Sorted <formula formulatype="inline"> <tex Notation="TeX">${\ell_1}$</tex></formula> Regularization	2014	Xiangrong Zeng Mário A. T. Figueiredo	1
+ PDF Chat	The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms	2013	Florentina Bunea Johannes Lederer Yiyuan She	1
+	Sharp Oracle Inequalities for Square Root Regularization	2017	Benjamin Stucky Sara A. van de Geer	1
+	Sparse matrix inversion with scaled Lasso	2013	Tingni Sun Cun‐Hui Zhang	1
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	1
+	On asymptotically optimal confidence regions and tests for high-dimensional models	2014	Sara van de Geer Peter Bühlmann Ya’acov Ritov Ruben Dezeure	1
+ PDF Chat	Finiteness properties of cubulated groups	2014	G. Christopher Hruska Daniel T. Wise	1
+ PDF Chat	Aggregation for Gaussian regression	2007	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp	1
+ PDF Chat	Oracle inequalities and optimal inference under group sparsity	2011	Karim Lounici Massimiliano Pontil Sara van de Geer Alexandre B. Tsybakov	1
+	Statistics for High-Dimensional Data: Methods, Theory and Applications	2011	Peter Bhlmann Sara van de Geer	1
+ PDF Chat	Efficiency improvement of the polar coordinate transformation for evaluating BEM singular integrals on curved elements	2013	Junjie Rong Lihua Wen Jinyou Xiao	1
+ PDF Chat	Optimization with Sparsity-Inducing Penalties	2011	Francis Bach Rodolphe Jenatton Julien Mairal Guillaume Obozinski	1
+	Aggregation and Sparsity Via ℓ1 Penalized Least Squares	2006	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp	1
+ PDF Chat	The Lasso, correlated design, and improved oracle inequalities	2013	Sara van de Geer Johannes Lederer	1
+	The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso	2014	Ritwik Mitra Cun‐Hui Zhang	1
+	On pairs of 2-complexes and systems of equations over groups.	1981	James Howie	1
+	A Sparse-Group Lasso	2012	Noah Simon Jerome H. Friedman Trevor Hastie Robert Tibshirani	1