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A Riemannian low-rank method for optimization over semidefinite matrices
  with block-diagonal constraints
v1v2 (latest)

A Riemannian low-rank method for optimization over semidefinite matrices with block-diagonal constraints

1 June 2015
Nicolas Boumal
ArXiv (abs)PDFHTML

Papers citing "A Riemannian low-rank method for optimization over semidefinite matrices with block-diagonal constraints"

19 / 19 papers shown
Title
Distributed Certifiably Correct Range-Aided SLAM
Distributed Certifiably Correct Range-Aided SLAM
Alexander Thoms
Alan Papalia
Jared Velasquez
David M. Rosen
Sriram Narasimhan
95
0
0
05 Mar 2025
An Overview of the Burer-Monteiro Method for Certifiable Robot Perception
An Overview of the Burer-Monteiro Method for Certifiable Robot Perception
Alan Papalia
Yulun Tian
David Rosen
Jonathan P. How
John Leonard
82
1
0
30 Sep 2024
Distributed Optimization in Sensor Network for Scalable Multi-Robot
  Relative State Estimation
Distributed Optimization in Sensor Network for Scalable Multi-Robot Relative State Estimation
Tianyue Wu
Fei Gao
78
1
0
02 Mar 2023
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
G. Zhang
Salar Fattahi
Richard Y. Zhang
163
24
0
07 Jun 2022
Rotation Averaging in a Split Second: A Primal-Dual Method and a
  Closed-Form for Cycle Graphs
Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs
Gabriel Moreira
Manuel Marques
João Paulo Costeira
136
12
0
16 Sep 2021
Lecture notes on non-convex algorithms for low-rank matrix recovery
Lecture notes on non-convex algorithms for low-rank matrix recovery
Irène Waldspurger
58
1
0
21 May 2021
From Digital Humanities to Quantum Humanities: Potentials and
  Applications
From Digital Humanities to Quantum Humanities: Potentials and Applications
Johanna Barzen
AI4CE
40
12
0
17 Mar 2021
Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach
Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach
Yu Chen
Ji Zhao
L. Kneip
46
31
0
22 Jan 2021
On the Tightness of Semidefinite Relaxations for Rotation Estimation
On the Tightness of Semidefinite Relaxations for Rotation Estimation
Lucas Brynte
Viktor Larsson
J. Iglesias
Carl Olsson
Fredrik Kahl
64
19
0
06 Jan 2021
Shonan Rotation Averaging: Global Optimality by Surfing $SO(p)^n$
Shonan Rotation Averaging: Global Optimality by Surfing SO(p)nSO(p)^nSO(p)n
F. Dellaert
David M. Rosen
Jing Wu
Robert E. Mahony
Luca Carlone
129
72
0
06 Aug 2020
CPL-SLAM: Efficient and Certifiably Correct Planar Graph-Based SLAM
  Using the Complex Number Representation
CPL-SLAM: Efficient and Certifiably Correct Planar Graph-Based SLAM Using the Complex Number Representation
Taosha Fan
Hanlin Wang
Michael Rubenstein
Todd Murphey
66
24
0
25 Jun 2020
Learning with Semi-Definite Programming: new statistical bounds based on
  fixed point analysis and excess risk curvature
Learning with Semi-Definite Programming: new statistical bounds based on fixed point analysis and excess risk curvature
Stéphane Chrétien
Ning Zhang
Guillaume Lecué
Lucie Neirac
21
5
0
04 Apr 2020
Asynchronous and Parallel Distributed Pose Graph Optimization
Asynchronous and Parallel Distributed Pose Graph Optimization
Yulun Tian
Alec Koppel
Amrit Singh Bedi
Jonathan P. How
112
38
0
06 Mar 2020
Distributed Certifiably Correct Pose-Graph Optimization
Distributed Certifiably Correct Pose-Graph Optimization
Yulun Tian
Kasra Khosoussi
David M. Rosen
Jonathan P. How
144
70
0
09 Nov 2019
Guaranteed Globally Optimal Planar Pose Graph and Landmark SLAM via
  Sparse-Bounded Sums-of-Squares Programming
Guaranteed Globally Optimal Planar Pose Graph and Landmark SLAM via Sparse-Bounded Sums-of-Squares Programming
Joshua G. Mangelson
Jinsun Liu
Ryan Eustice
Ram Vasudevan
65
20
0
20 Sep 2018
Solving SDPs for synchronization and MaxCut problems via the
  Grothendieck inequality
Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality
Song Mei
Theodor Misiakiewicz
Andrea Montanari
R. Oliveira
70
73
0
25 Mar 2017
A Certifiably Correct Algorithm for Synchronization over the Special
  Euclidean Group
A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group
David M. Rosen
Luca Carlone
Afonso S. Bandeira
J. Leonard
157
348
0
01 Nov 2016
Dropping Convexity for Faster Semi-definite Optimization
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli
Anastasios Kyrillidis
Sujay Sanghavi
101
173
0
14 Sep 2015
Sync-Rank: Robust Ranking, Constrained Ranking and Rank Aggregation via
  Eigenvector and Semidefinite Programming Synchronization
Sync-Rank: Robust Ranking, Constrained Ranking and Rank Aggregation via Eigenvector and Semidefinite Programming Synchronization
Mihai Cucuringu
121
56
0
05 Apr 2015
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