Shuaiwen Wang

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All published works

Action	Title	Year	Authors
+	Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation	2023	Hanyang Liu Shuai Yang Feng Qi Shuaiwen Wang
+ PDF Chat	Does SLOPE outperform bridge regression?	2021	Shuaiwen Wang Haolei Weng Arian Maleki
+ PDF Chat	Which bridge estimator is the best for variable selection?	2020	Shuaiwen Wang Haolei Weng Arian Maleki
+	High-dimensional asymptotics: new insights and methods	2020	Shuaiwen Wang
+	Does SLOPE outperform bridge regression	2019	Shuaiwen Wang Haolei Weng Arian Maleki
+	Does SLOPE outperform bridge regression?	2019	Shuaiwen Wang Haolei Weng Arian Maleki
+	Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions.	2018	Shuaiwen Wang Wenda Zhou Haihao Lu Arian Maleki Vahab Mirrokni
+	Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions	2018	Shuaiwen Wang Wenda Zhou Haihao Lu Arian Maleki Vahab Mirrokni
+	Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems	2018	Shuaiwen Wang Wenda Zhou Arian Maleki Haihao Lu Vahab Mirrokni
+	Which bridge estimator is optimal for variable selection?	2017	Shuaiwen Wang Haolei Weng Arian Maleki

Common Coauthors

Coauthor	Papers Together
Arian Maleki	8
Haolei Weng	5
Vahab Mirrokni	3
Wenda Zhou	3
Haihao Lu	3
Feng Qi	1
Shuai Yang	1
Hanyang Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Consistent parameter estimation for LASSO and approximate message passing	2018	Ali Mousavi Arian Maleki Richard G. Baraniuk	7
+	Message-passing algorithms for compressed sensing	2009	David L. Donoho Arian Maleki Andrea Montanari	7
+ PDF Chat	The LASSO Risk for Gaussian Matrices	2011	Mohsen Bayati Andrea Montanari	5
+ PDF Chat	The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing	2011	Mohsen Bayati Andrea Montanari	5
+	Sparse nonnegative solution of underdetermined linear equations by linear programming	2005	David L. Donoho Jared Tanner	5
+ PDF Chat	Robust Regression: Asymptotics, Conjectures and Monte Carlo	1973	Peter J. Huber	5
+ PDF Chat	Overcoming the limitations of phase transition by higher order analysis of regularization techniques	2018	Haolei Weng Arian Maleki Le Zheng	5
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	4
+ PDF Chat	The Noise-Sensitivity Phase Transition in Compressed Sensing	2011	David L. Donoho Arian Maleki Andrea Montanari	4
+ PDF Chat	The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square	2019	Pragya Sur Yuxin Chen Emmanuel J. Candès	4
+ PDF Chat	Universality in polytope phase transitions and message passing algorithms	2015	Mohsen Bayati Marc Lelarge Andrea Montanari	3
+	UPS delivers optimal phase diagram in high-dimensional variable selection	2012	Pengsheng Ji Jiashun Jin	3
+ PDF Chat	High-dimensional variable selection	2009	Larry Wasserman Kathryn Roeder	3
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	3
+	Optimality of graphlet screening in high dimensional variable selection	2014	Jiashun Jin Cun‐Hui Zhang Qi Zhang	3
+ PDF Chat	The sparsity and bias of the Lasso selection in high-dimensional linear regression	2008	Cun-Hui Zhang Jian Huang	3
+	Controlling the false discovery rate via knockoffs	2015	Rina Foygel Barber Emmanuel J. Candès	3
+ PDF Chat	Regularization after retention in ultrahigh dimensional linear regression models	2017	Haolei Weng Yang Feng Xingye Qiao	3
+ PDF Chat	High Dimensional Variable Selection via Tilting	2012	Haeran Cho Piotr Fryźlewicz	3
+	Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)	2009	Martin J. Wainwright	3
+ PDF Chat	Variable selection with Hamming loss	2018	Cristina Butucea Mohamed Ndaoud Natalia Stepanova Alexandre B. Tsybakov	3
+	SLOPE is adaptive to unknown sparsity and asymptotically minimax	2016	Weijie Su Emmanuel J. Candès	3
+ PDF Chat	Asymptotic Analysis of Complex LASSO via Complex Approximate Message Passing (CAMP)	2013	Arian Maleki Laura Anitori Zai Yang Richard G. Baraniuk	3
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	3
+	A Statistical View of Some Chemometrics Regression Tools	1993	lldiko E. Frank Jerome H. Friedman	3
+ PDF Chat	Sequential Lasso Cum EBIC for Feature Selection With Ultra-High Dimensional Feature Space	2014	Shan Luo Zehua Chen	3
+	Support recovery without incoherence: A case for nonconvex regularization	2017	Po‐Ling Loh Martin J. Wainwright	3
+ PDF Chat	Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds	2013	Galen Reeves Michael Gastpar	3
+	Convex Optimization Theory	2009	Dimitri P. Bertsekas	3
+ PDF Chat	Slope meets Lasso: Improved oracle bounds and optimality	2018	Pierre Bellec Guillaume Lecué Alexandre B. Tsybakov	3
+	Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso	2017	Trevor Hastie Robert Tibshirani Ryan J. Tibshirani	3
+	Precise Error Analysis of Regularized <inline-formula> <tex-math notation="LaTeX">$M$ </tex-math> </inline-formula>-Estimators in High Dimensions	2018	Christos Thrampoulidis Ehsan Abbasi Babak Hassibi	3
+ PDF Chat	Neighborliness of randomly projected simplices in high dimensions	2005	David L. Donoho Jared Tanner	3
+ PDF Chat	High-dimensionality effects in the Markowitz problem and other quadratic programs with linear constraints: Risk underestimation	2010	Noureddine El Karoui	3
+ PDF Chat	Asymptotics for lasso-type estimators	2000	Wenjiang Fu Keith Knight	3
+ PDF Chat	Information-Theoretic Limits on Sparse Signal Recovery: Dense versus Sparse Measurement Matrices	2010	Wei Wang Martin J. Wainwright Kannan Ramchandran	3
+	High-Dimensional Probability: An Introduction with Applications in Data Science	2018	Roman Vershynin	3
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	3
+	On Model Selection Consistency of Lasso	2006	Peng Zhao Bin Yu	3
+	Which bridge estimator is optimal for variable selection?	2017	Shuaiwen Wang Haolei Weng Arian Maleki	3
+	Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation	2009	Shuheng Zhou	3
+	Higher Criticism for Large-Scale Inference, Especially for Rare and Weak Effects	2015	David L. Donoho Jiashun Jin	3
+ PDF Chat	Asymptotic properties of bridge estimators in sparse high-dimensional regression models	2008	Jian Huang Joël L. Horowitz Shuangge Ma	3
+ PDF Chat	High-dimensional asymptotics of prediction: Ridge regression and classification	2018	Edgar Dobriban Stefan Wager	3
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	3
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+	Automatic Smoothing of Regression Functions in Generalized Linear Models	1986	Finbarr O’Sullivan Brian S. Yandell William J. Raynor	2
+ PDF Chat	High-Dimensional Centrally Symmetric Polytopes with Neighborliness Proportional to Dimension	2005	David L. Donoho	2
+ PDF Chat	On the “degrees of freedom” of the lasso	2007	Hui Zou Trevor Hastie Robert Tibshirani	2
+	SLOPE—Adaptive variable selection via convex optimization	2015	Małgorzata Bogdan E. van den Berg Chiara Sabatti Weijie Su Emmanuel J. Candès	2