Hejie Wei

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All published works

Action	Title	Year	Authors
+	A Riemannian subspace BFGS trust region method	2023	Hejie Wei Wei Hong Yang Yinsheng Chai
+ PDF Chat	Decentralized Approximate Newton Methods for Convex Optimization on Networked Systems	2021	Hejie Wei Zhihai Qu Xuyang Wu Hao Wang Jie Lu
+	Decentralized Approximate Newton Methods for In-Network Optimization	2019	Hejie Wei Zhihai Qu Xuyang Wu Hao Wang Jie Lu
+	Decentralized Approximate Newton Methods for Convex Optimization on Networked Systems	2019	Hejie Wei Zhihai Qu Xuyang Wu Hao Wang Jie Lu
+	A Riemannian subspace limited-memory SR1 trust region method	2015	Hejie Wei Wei Hong Yang

Common Coauthors

Coauthor	Papers Together
Xuyang Wu	3
Zhihai Qu	3
Jie Lu	3
Wei Hong Yang	2
Hao Wang	1
Hao Wang	1
Hao Wang	1
Yinsheng Chai	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs	2017	Angelia Nedić Alex Olshevsky Wei Shi	3
+ PDF Chat	EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization	2015	Wei Shi Qing Ling Gang Wu Wotao Yin	3
+ PDF Chat	Constrained Consensus and Optimization in Multi-Agent Networks	2010	A. Nedić Asuman Ozdaglar Pablo A. Parrilo	3
+	DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers	2016	Aryan Mokhtari Wei Shi Qing Ling Alejandro Ribeiro	3
+	Decentralized Quasi-Newton Methods	2017	Mark Eisen Aryan Mokhtari Alejandro Ribeiro	3
+ PDF Chat	Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case	2012	Jie Lu Choon Yik Tang	3
+ PDF Chat	Newton-Raphson Consensus for Distributed Convex Optimization	2015	Damiano Varagnolo Filippo Zanella Angelo Cenedese Gianluigi Pillonetto Luca Schenato	3
+ PDF Chat	Distributed Newton Method for Large-Scale Consensus Optimization	2019	Rasul Tutunov Haitham Bou-Ammar Ali Jadbabaie	3
+ PDF Chat	Newton-like Method with Diagonal Correction for Distributed Optimization	2017	Dragana Bajović Dušan Jakovetić Nataša Krejić Nataša Krklec Jerinkić	3
+	A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization	2016	Aryan Mokhtari Wei Shi Qing Ling Alejandro Ribeiro	3
+ PDF Chat	Harnessing Smoothness to Accelerate Distributed Optimization	2017	Guannan Qu Na Li	3
+ PDF Chat	ADD-OPT: Accelerated Distributed Directed Optimization	2017	Chenguang Xi Ran Xin Usman A. Khan	3
+	A Randomized Incremental Subgradient Method for Distributed Optimization in Networked Systems	2009	Björn Johansson Maben Rabi Mikael Johansson	2
+	Trust-Region Methods on Riemannian Manifolds	2006	Pierre-Antoine Absil Christopher G. Baker Kyle A. Gallivan	2
+	Accelerated Line-search and Trust-region Methods	2009	P.-A. Absil Kyle A. Gallivan	2
+	An implicit trust-region method on Riemannian manifolds	2008	Christopher G. Baker P.-A. Absil Kyle A. Gallivan	2
+ PDF Chat	Fast Distributed Gradient Methods	2014	Dušan Jakovetić João Xavier José M. F. Moura	2
+	Reduced-Hessian Quasi-Newton Methods for Unconstrained Optimization	2001	Philip E. Gill Michael W. Leonard	2
+	YALMIP : a toolbox for modeling and optimization in MATLAB	2005	Johan Löfberg	2
+ PDF Chat	A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization	2019	Mark Eisen Aryan Mokhtari Alejandro Ribeiro	2
+ PDF Chat	Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling	2011	John C. Duchi Alekh Agarwal Martin J. Wainwright	2
+	Convergence Rate of Distributed ADMM Over Networks	2017	Ali Makhdoumi Asuman Ozdaglar	2
+ PDF Chat	Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs	2016	Angelia Nedić Alex Olshevsky	2
+	Introductory Lectures on Convex Optimization: A Basic Course	2014	Ю Е Нестеров	2
+ PDF Chat	A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization	2015	Pascal Bianchi Walid Hachem Franck Iutzeler	2
+	Linear Convergence in Optimization Over Directed Graphs With Row-Stochastic Matrices	2018	Chenguang Xi Van Sy Ran Xin Eyad H. Abed Usman A. Khan	2
+ PDF Chat	On the Convergence of Decentralized Gradient Descent	2016	Kun Yuan Qing Ling Wotao Yin	2
+ PDF Chat	An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination	2012	Yongcan Cao Wenwu Yu Wei Ren Guanrong Chen	2
+	A subspace implementation of quasi-Newton trust region methods for unconstrained optimization	2006	Zhou-Hong Wang Ya-xiang Yuan	2
+	Low-Rank Matrix Completion by Riemannian Optimization	2013	Bart Vandereycken	2
+	Superlinearly Convergent Asynchronous Distributed Network Newton Method	2017	Fatemeh Mansoori Ermin Wei	1
+	Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression	2013	Francis Bach	1
+	Numerical Linear Algebra and Optimization	2021	Philip E. Gill Walter Murray Margaret H. Wright	1
+ PDF Chat	Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression	2014	Francis Bach	1
+	A Subspace Study on Conjugate Gradient Algorithms	1995	Peng Yuan Josef Stoer	1
+	Representations of quasi-Newton matrices and their use in limited memory methods	1994	Richard H. Byrd Jorge Nocedal Robert B. Schnabel	1
+ PDF Chat	A feasible method for optimization with orthogonality constraints	2012	Zaiwen Wen Wotao Yin	1
+	An Introduction to Optimization on Smooth Manifolds	2023	Nicolas Boumal	1
+ PDF Chat	A characterization of superlinear convergence and its application to quasi-Newton methods	1974	J. E. Dennis Jorge J. Morè	1
+ PDF Chat	Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization	2017	Xiao Wang Shiqian Ma Donald Goldfarb Wei Liu	1
+	Optimization Algorithms on Matrix Manifolds	2007	P.-A. Absil Robert Mahony Rodolphe Sepulchre	1
+	Approximate solution of the trust region problem by minimization over two-dimensional subspaces	1988	Richard H. Byrd Robert B. Schnabel Gerald A. Shultz	1
+	A Subspace Minimization Method for the Trust-Region Step	2009	Jennifer B. Erway Philip E. Gill	1
+	A Riemannian symmetric rank-one trust-region method	2014	Wen Huang Pierre-Antoine Absil Kyle A. Gallivan	1
+ PDF Chat	A Fast Distributed Asynchronous Newton-Based Optimization Algorithm	2019	Fatemeh Mansoori Ermin Wei	1
+	Numerical Optimization Methods on Riemannian Manifolds	2011	Chunhong Qi	1
+	Manopt, a Matlab toolbox for optimization on manifolds	2013	Nicolas Boumal Bamdev Mishra Pierre-Antoine Absil Rodolphe Sepulchre	1
+	A Riemannian subspace limited-memory SR1 trust region method	2015	Hejie Wei Wei Hong Yang	1
+	Riemannian conjugate gradient methods with inverse retraction	2020	Xiaojing Zhu Hiroyuki Sato	1
+ PDF Chat	Optimization algorithms on the Grassmann manifold with application to matrix eigenvalue problems	2014	Hiroyuki Sato Toshihiro Iwai	1