Joong‐Ho Won

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD	2024	S. H. Lee Joshua Bang Youngrae Kim Hyungwon Choi Sang‐Yun Oh Joong‐Ho Won
+	On the Correctness of the Generalized Isotonic Recursive Partitioning Algorithm	2024	Joong‐Ho Won J.W. Jung
+ PDF Chat	Characterization of the solutions set of the generalized LASSO problems for non-full rank cases	2023	Jaesung Hwang Joong‐Ho Won Yongdai Kim
+	Wasserstein Geodesic Generator for Conditional Distributions	2023	Young-Geun Kim Kyungbok Lee Youngwon Choi Joong‐Ho Won Myunghee Cho Paik
+	$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence	2023	Juno Kim Jaehyuk Kwon Mincheol Cho Hyun‐Jong Lee Joong‐Ho Won
+	Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions	2022	Joong‐Ho Won Teng Zhang Hua Zhou
+	A unified analysis of convex and non-convex lp-ball projection problems	2022	Joong‐Ho Won Kenneth Lange Jason Xu
+	Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert	2022	Yoonhyung Lee Sungdong Lee Joong‐Ho Won
+ PDF Chat	Nonconvex Optimization via MM Algorithms: Convergence Theory	2021	Kenneth Lange Joong‐Ho Won Alfonso Landeros Hua Zhou
+	Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality	2021	Joong‐Ho Won Hua Zhou Kenneth Lange
+	Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions	2021	Joong‐Ho Won Teng Zhang Hua Zhou
+	Easily Parallelizable and Distributable Class of Algorithms for Structured Sparsity, with Optimal Acceleration	2021	Seyoon Ko Donghyeon Yu Joong‐Ho Won
+	Principled learning method for Wasserstein distributionally robust optimization with local perturbations	2020	Yongchan Kwon Wonyoung Kim Joong‐Ho Won Myunghee Cho Paik
+ PDF Chat	Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET	2020	Ernest K. Ryu Seyoon Ko Joong‐Ho Won
+	Principled learning method for Wasserstein distributionally robust optimization with local perturbations	2020	Yongchan Kwon Wonyoung Kim Joong‐Ho Won Myunghee Cho Paik
+	DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia	2020	Seyoon Ko Hua Zhou Jin Zhou Joong‐Ho Won
+	Proximity Operator of the Matrix Perspective Function and its Applications	2020	Joong‐Ho Won
+	High-Performance Statistical Computing in the Computing Environments of the 2020s	2020	Seyoon Ko Hua Zhou Jin Zhou Joong‐Ho Won
+ PDF Chat	Easily Parallelizable and Distributable Class of Algorithms for Structured Sparsity, with Optimal Acceleration	2019	Seyoon Ko Donghyeon Yu Joong‐Ho Won
+	Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization	2018	Seung-Jean Kim Johan Lim Joong‐Ho Won
+	Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET	2018	Ernest K. Ryu Seyoon Ko Joong‐Ho Won
+	Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality	2018	Joong‐Ho Won Hua Zhou Kenneth Lange
+	A peeling algorithm for multiple testing on a random field	2017	Joungyoun Kim Donghyeon Yu Johan Lim Joong‐Ho Won
+	On a Class of First-order Primal-Dual Algorithms for Composite Convex Minimization Problems	2017	Seyoon Ko Donghyeon Yu Joong‐Ho Won
+	A Continuum of Optimal Primal-Dual Algorithms for Convex Composite Minimization Problems with Applications to Structured Sparsity	2017	Seyoon Ko Donghyeon Yu Joong‐Ho Won
+	Cross-sectional design with a short-term follow-up for prognostic imaging biomarkers	2017	Joong‐Ho Won Xiao Wu Sang H. Lee Ying Lü
+	Comparative study of computational algorithms for the Lasso with high-dimensional, highly correlated data	2016	Baekjin Kim Donghyeon Yu Joong‐Ho Won
+	On the Solution Path of Regularized Covariance Estimators	2015	Sang‐Yun Oh Bala Rajaratnam Joong‐Ho Won
+	Towards a sparse, scalable, and stably positive definite (inverse) covariance estimator	2015	Sang‐Yun Oh Bala Rajaratnam Joong‐Ho Won
+	High-Dimensional Fused Lasso Regression Using Majorization–Minimization and Parallel Processing	2015	Donghyeon Yu Joong‐Ho Won Taehoon Lee Johan Lim Sungroh Yoon
+	High-Dimensional Fused Lasso Regression Using Majorization–Minimization and Parallel Processing	2015	Donghyeon Yu Joong‐Ho Won Taehoon Lee Johan Lim Sungroh Yoon
+ PDF Chat	High-Dimensional Fused Lasso Regression Using Majorization–Minimization and Parallel Processing	2014	Donghyeon Yu Joong‐Ho Won Taehoon Lee Johan Lim Sungroh Yoon
+ PDF Chat	Monotone false discovery rate	2014	Joong‐Ho Won Johan Lim Donghyeon Yu Byung‐Soo Kim Kyunga Kim
+	Monotone false discovery rate	2013	Joong‐Ho Won Johan Lim Donghyeon Yu Byung‐Soo Kim Kyunga Kim
+	High-dimensional Fused Lasso Regression using Majorization-Minimization and Parallel Processing	2013	Donghyeon Yu Joong‐Ho Won Taehoon Lee Johan Lim Sungroh Yoon
+ PDF Chat	Condition-Number-Regularized Covariance Estimation	2012	Joong‐Ho Won Johan Lim Seung-Jean Kim Bala Rajaratnam
+ PDF Chat	ROC convex hull and nonparametric maximum likelihood estimation	2012	Johan Lim Joong‐Ho Won

Common Coauthors

Coauthor	Papers Together
Johan Lim	10
Donghyeon Yu	10
Seyoon Ko	8
Hua Zhou	5
Kenneth Lange	4
Taehoon Lee	4
Sungroh Yoon	4
Sang‐Yun Oh	3
Bala Rajaratnam	3
Myunghee Cho Paik	3
Byung‐Soo Kim	2
Jin Zhou	2
Seung-Jean Kim	2
Kyunga Kim	2
Donghyeon Yu	2
Yongchan Kwon	2
Wonyoung Kim	2
Teng Zhang	2
Ernest K. Ryu	2
Hyun‐Jong Lee	1
Hua Zhou	1
Kyungbok Lee	1
Mincheol Cho	1
J.W. Jung	1
Baekjin Kim	1
Jaehyuk Kwon	1
Jaesung Hwang	1
Yongdai Kim	1
Sungdong Lee	1
Young-Geun Kim	1
Joshua Bang	1
Jason Xu	1
Juno Kim	1
Hua Zhou	1
Youngwon Choi	1
Ying Lü	1
Yoonhyung Lee	1
Youngrae Kim	1
Xiao Wu	1
Alfonso Landeros	1
S. H. Lee	1
Hyungwon Choi	1
Joungyoun Kim	1
Sang H. Lee	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	7
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	6
+ PDF Chat	A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging	2010	Antonin Chambolle Thomas Pock	4
+	Optimization Transfer Using Surrogate Objective Functions	2000	Kenneth Lange David R. Hunter Ilsoon Yang	4
+ PDF Chat	Variable selection using MM algorithms	2005	David R. Hunter Runze Li	4
+	A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science	2010	Ernie Esser Xiaoqun Zhang Tony F. Chan	4
+ PDF Chat	Sparsity and Smoothness Via the Fused Lasso	2004	Robert Tibshirani Michael A. Saunders Saharon Rosset Ji Zhu Keith Knight	4
+ PDF Chat	Partial Correlation Estimation by Joint Sparse Regression Models	2009	Jie Peng Pei Wang Nengfeng Zhou Ji Zhu	4
+ PDF Chat	Pathwise coordinate optimization	2007	Jerome H. Friedman Trevor Hastie Holger Höfling Robert Tibshirani	4
+ PDF Chat	The solution path of the generalized lasso	2011	Ryan J. Tibshirani Jonathan Taylor	4
+ PDF Chat	Projection-like Retractions on Matrix Manifolds	2012	P.-A. Absil Jérôme Malick	3
+	Linear relations amongk sets of variables	1984	John P. Van de Geer	3
+ PDF Chat	Smooth minimization of non-smooth functions	2004	Yu. Nesterov	3
+ PDF Chat	Convergence Rate Analysis of Primal-Dual Splitting Schemes	2015	Damek Davis	3
+ PDF Chat	High-Dimensional Fused Lasso Regression Using Majorization–Minimization and Parallel Processing	2014	Donghyeon Yu Joong‐Ho Won Taehoon Lee Johan Lim Sungroh Yoon	3
+	Nonlinear Programming: A Unified Approach	1972	David W. Peterson Willard I. Zangwill	3
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2017	Heinz H. Bauschke Patrick L. Combettes	3
+	Generalized procrustes analysis	1975	J. C. Gower	3
+	Introductory Lectures on Convex Optimization: A Basic Course	2014	Ю Е Нестеров	3
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	3
+ PDF Chat	On the ergodic convergence rates of a first-order primal–dual algorithm	2015	Antonin Chambolle Thomas Pock	3
+ PDF Chat	Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control	2007	Wenguang Sun Tommaso Cai	3
+ PDF Chat	Disentangling orthogonal matrices	2017	Teng Zhang Amit Singer	3
+ PDF Chat	Julia: A Fresh Approach to Numerical Computing	2017	Jeff Bezanson Alan Edelman Stefan Karpinski Viral B. Shah	3
+ PDF Chat	Approximating the little Grothendieck problem over the orthogonal and unitary groups	2016	Afonso S. Bandeira Christopher Kennedy Amit Singer	3
+	Analysis of K sets of data, with differential emphasis on agreement between and within sets	2006	Mohamed Hanafi Henk A. L. Kiers	3
+	Smoothing proximal gradient method for general structured sparse regression	2012	Xi Chen Qihang Lin Se Young Kim Jaime G. Carbonell Eric P. Xing	3
+	An efficient algorithm for a class of fused lasso problems	2010	Jun Liu Lei Yuan Jieping Ye	3
+	The Split Bregman Method for L1-Regularized Problems	2009	Tom Goldstein Stanley Osher	3
+	The Numerical Solution of Parabolic and Elliptic Differential Equations	1955	D.W. Peaceman H.H. Rachford	2
+	Optimality conditions and duality theory for minimizing sums of the largest eigenvalues of symmetric matrices	1993	Michael L. Overton Robert S. Womersley	2
+ PDF Chat	Primal-Dual Decomposition by Operator Splitting and Applications to Image Deblurring	2014	Daniel O’Connor Lieven Vandenberghe	2
+ PDF Chat	A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions	1999	Michael K. Ng Raymond H. Chan Wun-Cheung Tang	2
+	The efficient cross-validation of principal components applied to principal component regression	1995	Bart Mertens Tom Fearn Michael Thompson	2
+	An Optimal Circulant Preconditioner for Toeplitz Systems	1988	Tony F. Chan	2
+ PDF Chat	Mean value methods in iteration	1953	W. Robert Mann	2
+	A Proposal for Toeplitz Matrix Calculations	1986	Gilbert Strang	2
+ PDF Chat	A Path Algorithm for the Fused Lasso Signal Approximator	2010	Hölger Hoefling	2
+	Maximum Likelihood Reconstruction for Emission Tomography	1982	L. A. Shepp Y. Vardi	2
+	A dual approach to solving nonlinear programming problems by unconstrained optimization	1973	R. T. Rockafellar	2
+ PDF Chat	Preconditioned Douglas–Rachford Algorithms for TV- and TGV-Regularized Variational Imaging Problems	2015	Kristian Bredies Hong Peng Sun	2
+ PDF Chat	Sparse regression with exact clustering	2010	Yiyuan She	2
+	Multiplier and gradient methods	1969	Magnus R. Hestenes	2
+	Splitting Algorithms for the Sum of Two Nonlinear Operators	1979	Pierre‐Louis Lions Bertrand Mercier	2
+	RELATIONS BETWEEN TWO SETS OF VARIATES	1936	Harold Hotelling	2
+	Interior Point Methods in Semidefinite Programming with Applications to Combinatorial Optimization	1995	Farid Alizadeh	2
+ PDF Chat	A Splitting-Based Iterative Algorithm for Accelerated Statistical X-Ray CT Reconstruction	2011	S. Ramani Jeffrey A. Fessler	2
+	Global optimality of the successive Maxbet algorithm	2003	Mohamed Hanafi Jos M. F. ten Berge	2
+ PDF Chat	Split Bregman method for large scale fused Lasso	2010	Gui–Bo Ye Xiaohui Xie	2
+ PDF Chat	An Efficient Parallel Algorithm for the Solution of a Tridiagonal Linear System of Equations	1973	Harold S. Stone	2