Shaozhe Tao

Generating author description...

All published works

Action	Title	Year	Authors
+	Inverse Covariance Estimation with Structured Groups	2017	Shaozhe Tao Yifan Sun Daniel Boley
+ PDF Chat	Local Linear Convergence of ISTA and FISTA on the LASSO Problem	2016	Shaozhe Tao Daniel Boley Shuzhong Zhang
+	Convergence of common proximal methods for l 1 -regularized least squares	2015	Shaozhe Tao Daniel Boley Shuzhong Zhang
+	Local Linear Convergence of ISTA and FISTA on the LASSO Problem	2015	Shaozhe Tao Daniel Boley Shuzhong Zhang

Common Coauthors

Coauthor	Papers Together
Daniel Boley	4
Shuzhong Zhang	3
Yifan Sun	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+ PDF Chat	An iterative thresholding algorithm for linear inverse problems with a sparsity constraint	2004	Ingrid Daubechies Michel Defrise Christine De Mol	3
+ PDF Chat	Local Linear Convergence of the Alternating Direction Method of Multipliers on Quadratic or Linear Programs	2013	Daniel Boley	3
+ PDF Chat	Recovery of Exact Sparse Representations in the Presence of Bounded Noise	2005	J.-J. Fuchs	3
+	Proximal Algorithms	2013	Neal Parikh Stephen Boyd	3
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	3
+	The lasso problem and uniqueness	2013	Ryan J. Tibshirani	3
+	Near-ideal model selection by ℓ1 minimization	2009	Emmanuel J. Candès Yaniv Plan	3
+	On the LASSO and Its Dual	2000	M. R. Osborne Brett Presnell Berwin A. Turlach	3
+ PDF Chat	Linear Convergence of Iterative Soft-Thresholding	2008	Kristian Bredies Dirk A. Lorenz	2
+	Lectures on Modern Convex Optimization	2001	Aharon Ben‐Tal Arkadi Nemirovski	2
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	2
+ PDF Chat	Necessary and Sufficient Conditions of Solution Uniqueness in 1-Norm Minimization	2014	Hui Zhang Wotao Yin Lizhi Cheng	2
+	Local Linear Convergence of Forward-Backward under Partial Smoothness	2014	Jingwei Liang Jalal Fadili Gabriel Peyré	2
+	Conditional gradient algorithms with open loop step size rules	1978	J. C. Dunn Stuart Harshbarger	1
+	Covariance selection for nonchordal graphs via chordal embedding	2008	Joachim Dahl Lieven Vandenberghe Vwani Roychowdhury	1
+	Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation	2011	Cho‐Jui Hsieh Inderjit S. Dhillon Pradeep Ravikumar Mátyás A. Sustik	1
+	Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation	2012	Dominique Guillot Bala Rajaratnam Benjamin T. Rolfs Arian Maleki Ian Wong	1
+ PDF Chat	Adaptive Restart for Accelerated Gradient Schemes	2013	Brendan O’Donoghue Emmanuel J. Candès	1
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	1
+	BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables	2013	Cho‐Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar Russell A. Poldrack	1
+	An Alternating Direction Method for Linear Programming	1990	Jonathan Eckstein Dimitri P. Bertsekas Decision Systems.	1
+	Iterative methods for linear and nonlinear equations	1996	C. T. Kelley	1
+	Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data	2008	Onureena Banerjee Laurent El Ghaoui Alexandre d’Aspremont	1
+	A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers	2009	Sahand Negahban Bin Yu Martin J. Wainwright Pradeep Ravikumar	1
+	Regularized sparse inverse covariance matrix estimation	2012	Cho‐Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar	1
+ PDF Chat	The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes	2013	Patrick Danaher Pei Wang Daniela Witten	1
+	Convex optimization techniques for fitting sparse Gaussian graphical models	2006	Onureena Banerjee Laurent El Ghaoui Alexandre d’Aspremont Georges Natsoulis	1
+	Convergence of common proximal methods for l 1 -regularized least squares	2015	Shaozhe Tao Daniel Boley Shuzhong Zhang	1
+	Convex Optimization with Sparsity-Inducing Norms	2011	Francis Bach Rodolphe Jenatton Julien Mairal Guillaume Obozinski	1
+ PDF Chat	Fonctions convexes duales et points proximaux dans un espace hilbertien	1962	Jean Jacques Moreau	1
+	A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers	2012	Sahand Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu	1
+	Exact covariance thresholding into connected components for large-scale Graphical Lasso	2011	Rahul Mazumder Trevor Hastie	1
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	1
+ PDF Chat	The Convex Geometry of Linear Inverse Problems	2012	Venkat Chandrasekaran Benjamin Recht Pablo A. Parrilo Alan S. Willsky	1
+	On the LASSO and its Dual	2000	M. R. Osborne Brett Presnell Berwin A. Turlach	1
+ PDF Chat	Local Linear Convergence of ISTA and FISTA on the LASSO Problem	2016	Shaozhe Tao Daniel Boley Shuzhong Zhang	1
+	Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization	2013	Martin Jaggi	1
+	On the Finite Time Convergence of Cyclic Coordinate Descent Methods	2010	Ankan Saha Ambuj Tewari	1
+ PDF Chat	Proximal Splitting Methods in Signal Processing	2011	Patrick L. Combettes Jean‐Christophe Pesquet	1
+	Group Lasso with Overlaps: the Latent Group Lasso approach	2011	Guillaume Obozinski Laurent Jacob Jean‐Philippe Vert	1
+	Positive definite completions of partial Hermitian matrices	1984	Robert Grone Charles R. Johnson Eduardo Marques de Sá Henry Wolkowicz	1
+	Splitting Algorithms for the Sum of Two Nonlinear Operators	1979	Pierre‐Louis Lions Bertrand Mercier	1
+ PDF Chat	Logarithmic barriers for sparse matrix cones	2012	Martin S. Andersen Joachim Dahl Lieven Vandenberghe	1
+	Positive semidefinite matrices with a given sparsity pattern	1988	Jim Agler William Helton Scott McCullough Leiba Rodman	1
+	A coordinate gradient descent method for nonsmooth separable minimization	2007	Paul Tseng Sangwoon Yun	1
+	On the existence of convex decompositions of partially separable functions	1984	Andreas Griewank Philippe L. Toint	1
+ PDF Chat	First-Order Methods for Sparse Covariance Selection	2008	Alexandre d’Aspremont Onureena Banerjee Laurent El Ghaoui	1
+	Model selection and estimation in the Gaussian graphical model	2007	Ming Yuan Yi Lin	1
+	Numerical Analysis, A Second Course	1973	C. W. de Boor James M. Ortega	1