Jiang Hu

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All published works

Action	Title	Year	Authors
+	A Brief Introduction to Manifold Optimization	2019	Jiang Hu Xin Liu Zaiwen Wen Ya-xiang Yuan
+	Adaptive Regularized Newton Method for Riemannian Optimization	2017	Jiang Hu Andre Milzarek Zaiwen Wen Ya-xiang Yuan

Common Coauthors

Coauthor	Papers Together
Zaiwen Wen	2
Ya-xiang Yuan	2
Andre Milzarek	1
Xin Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Optimization Algorithms on Matrix Manifolds	2007	P.-A. Absil Robert Mahony Rodolphe Sepulchre	2
+ PDF Chat	Projection-like Retractions on Matrix Manifolds	2012	P.-A. Absil Jérôme Malick	2
+	Trust-Region Methods on Riemannian Manifolds	2006	Pierre-Antoine Absil Christopher G. Baker Kyle A. Gallivan	2
+ PDF Chat	Trace-Penalty Minimization for Large-Scale Eigenspace Computation	2015	Zaiwen Wen Chao Yang Xin Liu Yin Zhang	1
+	Convergence of inexact descent methods for nonconvex optimization on Riemannian manifolds	2011	G. C. Bento João Xavier da Cruz Neto P. R. Oliveira	1
+ PDF Chat	Non-Negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics	2015	Andrea Montanari Émile Richard	1
+ PDF Chat	A Broyden Class of Quasi-Newton Methods for Riemannian Optimization	2015	Wen Huang Kyle A. Gallivan Pierre-Antoine Absil	1
+ PDF Chat	On the Analysis of the Discretized Kohn--Sham Density Functional Theory	2015	Xin Liu Zaiwen Wen Xiao Wang Michael Ulbrich Ya-xiang Yuan	1
+ PDF Chat	Optimization techniques on Riemannian manifolds	1995	Steven J. Smith	1
+ PDF Chat	Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions	2013	Xin Liu Zaiwen Wen Yin Zhang	1
+ PDF Chat	Minimizing a differentiable function over a differential manifold	1982	Daniel Gabay	1
+ PDF Chat	A majorization algorithm for constrained correlation matrix approximation	2009	Dan Simon Jeff Abell	1
+	On the Rank of Extreme Matrices in Semidefinite Programs and the Multiplicity of Optimal Eigenvalues	1998	Gábor Pataki	1
+	Convergence acceleration of iterative sequences. the case of scf iteration	1980	Péter Pulay	1
+ PDF Chat	The Geometry of Algorithms with Orthogonality Constraints	1998	Alan Edelman T. A. Arias Steven T. Smith	1
+	Low-Rank Matrix Completion by Riemannian Optimization	2013	Bart Vandereycken	1
+ PDF Chat	On the Convergence of the Self-Consistent Field Iteration in Kohn--Sham Density Functional Theory	2014	Xin Liu Xiao Wang Zaiwen Wen Ya-xiang Yuan	1
+ PDF Chat	Low-rank tensor completion by Riemannian optimization	2013	Daniel Kreßner Michael Steinlechner Bart Vandereycken	1
+ PDF Chat	A feasible method for optimization with orthogonality constraints	2012	Zaiwen Wen Wotao Yin	1
+ PDF Chat	Gradient Type Optimization Methods For Electronic Structure Calculations	2014	Xin Zhang Jinwei Zhu Zaiwen Wen Aihui Zhou	1
+	Convex Functions and Optimization Methods on Riemannian Manifolds	1994	Constantin Udrişte	1
+ PDF Chat	Approximating the little Grothendieck problem over the orthogonal and unitary groups	2016	Afonso S. Bandeira Christopher Kennedy Amit Singer	1
+ PDF Chat	A framework of constraint preserving update schemes for optimization on Stiefel manifold	2014	Bo Jiang Yu‐Hong Dai	1
+ PDF Chat	A Modified Principal Component Technique Based on the LASSO	2003	Ian T. Jolliffe Nickolay T. Trendafilov Mudassir Uddin	1
+	Local Minima and Convergence in Low-Rank Semidefinite Programming	2004	Samuel Burer Renato D. C. Monteiro	1
+	A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization	2003	Samuel Burer Renato D. C. Monteiro	1
+ PDF Chat	MADMM: A Generic Algorithm for Non-smooth Optimization on Manifolds	2016	Artiom Kovnatsky Klaus Glashoff Michael M. Bronstein	1
+	A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization	2004	Hongchao Zhang William W. Hager	1
+ PDF Chat	Nonsmooth trust region algorithms for locally Lipschitz functions on Riemannian manifolds	2015	Philipp Grohs S. Hosseini	1
+ PDF Chat	Localized density matrix minimization and linear-scaling algorithms	2016	Rongjie Lai Jianfeng Lu	1
+	A New Approach to the Proximal Point Method: Convergence on General Riemannian Manifolds	2016	Glaydston de Carvalho Bento João Xavier da Cruz Neto Paulo Roberto Oliveira	1
+ PDF Chat	Near-optimal stochastic approximation for online principal component estimation	2017	Chris Junchi Li Mengdi Wang Han Liu Tong Zhang	1
+ PDF Chat	Global rates of convergence for nonconvex optimization on manifolds	2018	Nicolas Boumal P-A Absil Coralia Cartis	1
+	A note on semidefinite programming relaxations for polynomial optimization over a single sphere	2016	Jiang Hu Bo Jiang Xin Liu Zaiwen Wen	1
+	Subspace Methods with Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format	2016	Junyu Zhang Zaiwen Wen Yin Zhang	1
+ PDF Chat	Iteration-Complexity of Gradient, Subgradient and Proximal Point Methods on Riemannian Manifolds	2017	G. C. Bento O. P. Ferreira Jefferson G. Melo	1
+	Intrinsic representation of tangent vectors and vector transports on matrix manifolds	2016	Wen Huang Pierre-Antoine Absil Kyle A. Gallivan	1
+	A Riemannian conjugate gradient method for optimization on the Stiefel manifold	2016	Xiaojing Zhu	1
+	A Riemannian Gradient Sampling Algorithm for Nonsmooth Optimization on Manifolds	2017	Seyedehsomayeh Hosseini André Uschmajew	1
+	Riemannian stochastic variance reduced gradient	2017	Hiroyuki Sato Hiroyuki Kasai Bamdev Mishra	1
+	Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality	2017	Mei Song Theodor Misiakiewicz Andrea Montanari Roberto I. Oliveira	1
+ PDF Chat	Accelerating Convergence by Augmented Rayleigh--Ritz Projections For Large-Scale Eigenpair Computation	2017	Zaiwen Wen Yin Zhang	1
+	Vector Transport-Free SVRG with General Retraction for Riemannian Optimization: Complexity Analysis and Practical Implementation	2017	Bo Jiang Shiqian Ma Anthony Man–Cho So Shuzhong Zhang	1
+	Adaptive Regularized Newton Method for Riemannian Optimization	2017	Jiang Hu Andre Milzarek Zaiwen Wen Ya-xiang Yuan	1
+ PDF Chat	On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution	2017	Yuqian Zhang Yenson Lau Han-Wen Kuo Sky C. Cheung Abhay N. Pasupathy John Wright	1
+	Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points	2017	E. G. Birgin Gabriel Haeser Alberto Ramos	1
+	Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds	2017	Yuanyuan Liu Fanhua Shang James Cheng Hong Cheng Licheng Jiao	1
+	Primal-Dual Optimization Algorithms over Riemannian Manifolds: an Iteration Complexity Analysis	2017	Junyu Zhang Shiqian Ma Shuzhong Zhang	1
+	Local Improvement Results for Anderson Acceleration with Inaccurate Function Evaluations	2017	Alex Toth J. Austin Ellis T. M. Evans Steven Hamilton C. T. Kelley Roger P. Pawlowski Stuart Slattery	1
+	A Riemannian BFGS Method Without Differentiated Retraction for Nonconvex Optimization Problems	2018	Wen Huang Pierre-Antoine Absil Kyle A. Gallivan	1