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Manopt, a Matlab toolbox for optimization on manifolds

Manopt, a Matlab toolbox for optimization on manifolds

23 August 2013
Nicolas Boumal
Bamdev Mishra
P.-A. Absil
R. Sepulchre
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Papers citing "Manopt, a Matlab toolbox for optimization on manifolds"

37 / 237 papers shown
Title
Wasserstein Discriminant Analysis
Wasserstein Discriminant Analysis
Rémi Flamary
Marco Cuturi
Nicolas Courty
A. Rakotomamonjy
23
100
0
29 Aug 2016
Robust Discriminative Clustering with Sparse Regularizers
Robust Discriminative Clustering with Sparse Regularizers
Nicolas Flammarion
B. Palaniappan
Francis R. Bach
25
18
0
29 Aug 2016
Fine tuning consensus optimization for distributed radio interferometric
  calibration
Fine tuning consensus optimization for distributed radio interferometric calibration
S. Yatawatta
19
18
0
30 May 2016
Low-rank tensor completion: a Riemannian manifold preconditioning
  approach
Low-rank tensor completion: a Riemannian manifold preconditioning approach
Hiroyuki Kasai
Bamdev Mishra
17
119
0
26 May 2016
Geometry-aware stationary subspace analysis
Geometry-aware stationary subspace analysis
I. Horev
Florian Yger
Masashi Sugiyama
14
8
0
25 May 2016
Riemannian stochastic variance reduced gradient on Grassmann manifold
Riemannian stochastic variance reduced gradient on Grassmann manifold
Hiroyuki Kasai
Hiroyuki Sato
Bamdev Mishra
27
21
0
24 May 2016
Convergence Analysis for Rectangular Matrix Completion Using
  Burer-Monteiro Factorization and Gradient Descent
Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent
Qinqing Zheng
John D. Lafferty
34
160
0
23 May 2016
A Riemannian gossip approach to decentralized matrix completion
A Riemannian gossip approach to decentralized matrix completion
Bamdev Mishra
Hiroyuki Kasai
Atul Saroop
31
3
0
23 May 2016
Dimensionality Reduction on SPD Manifolds: The Emergence of
  Geometry-Aware Methods
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods
Mehrtash Harandi
Mathieu Salzmann
Richard I. Hartley
4
190
0
20 May 2016
Integrating NOE and RDC using sum-of-squares relaxation for protein
  structure determination
Integrating NOE and RDC using sum-of-squares relaxation for protein structure determination
Y. Khoo
A. Singer
D. Cowburn
16
0
0
06 Apr 2016
Performance of a community detection algorithm based on semidefinite
  programming
Performance of a community detection algorithm based on semidefinite programming
Adel Javanmard
Andrea Montanari
F. Ricci-Tersenghi
19
20
0
30 Mar 2016
Scaled stochastic gradient descent for low-rank matrix completion
Scaled stochastic gradient descent for low-rank matrix completion
Bamdev Mishra
R. Sepulchre
ODL
19
3
0
16 Mar 2016
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic
  Differentiation
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
James Townsend
Niklas Koep
S. Weichwald
41
244
0
10 Mar 2016
A Geometric Analysis of Phase Retrieval
A Geometric Analysis of Phase Retrieval
Ju Sun
Qing Qu
John N. Wright
34
523
0
22 Feb 2016
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video
Xiaowei Zhou
Menglong Zhu
Spyridon Leonardos
Konstantinos G. Derpanis
Kostas Daniilidis
3DH
32
423
0
30 Nov 2015
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian
  Trust-region Method
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method
Ju Sun
Qing Qu
John N. Wright
16
146
0
15 Nov 2015
Symmetry-invariant optimization in deep networks
Symmetry-invariant optimization in deep networks
Vijay Badrinarayanan
Bamdev Mishra
R. Cipolla
ODL
19
31
0
05 Nov 2015
Understanding symmetries in deep networks
Understanding symmetries in deep networks
Vijay Badrinarayanan
Bamdev Mishra
R. Cipolla
221
42
0
03 Nov 2015
When Are Nonconvex Problems Not Scary?
When Are Nonconvex Problems Not Scary?
Ju Sun
Qing Qu
John N. Wright
24
166
0
21 Oct 2015
Minimum Spectral Connectivity Projection Pursuit
Minimum Spectral Connectivity Projection Pursuit
David P. Hofmeyr
N. Pavlidis
I. Eckley
7
6
0
04 Sep 2015
Direct Estimation of the Derivative of Quadratic Mutual Information with
  Application in Supervised Dimension Reduction
Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction
Voot Tangkaratt
Hiroaki Sasaki
Masashi Sugiyama
29
14
0
05 Aug 2015
Fixed-point algorithms for learning determinantal point processes
Fixed-point algorithms for learning determinantal point processes
Zelda E. Mariet
S. Sra
31
53
0
04 Aug 2015
MixEst: An Estimation Toolbox for Mixture Models
MixEst: An Estimation Toolbox for Mixture Models
Reshad Hosseini
Mohamadreza Mashál
VLM
20
11
0
22 Jul 2015
Riemannian Dictionary Learning and Sparse Coding for Positive Definite
  Matrices
Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices
A. Cherian
S. Sra
14
118
0
10 Jul 2015
Manifold Optimization for Gaussian Mixture Models
Manifold Optimization for Gaussian Mixture Models
Reshad Hosseini
S. Sra
13
4
0
25 Jun 2015
Riemannian preconditioning for tensor completion
Riemannian preconditioning for tensor completion
Hiroyuki Kasai
Bamdev Mishra
27
10
0
06 Jun 2015
A Riemannian low-rank method for optimization over semidefinite matrices
  with block-diagonal constraints
A Riemannian low-rank method for optimization over semidefinite matrices with block-diagonal constraints
Nicolas Boumal
27
67
0
01 Jun 2015
Heterogeneous Tensor Decomposition for Clustering via Manifold
  Optimization
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization
Yanfeng Sun
Junbin Gao
X. Hong
Bamdev Mishra
Baocai Yin
16
69
0
07 Apr 2015
Supervised LogEuclidean Metric Learning for Symmetric Positive Definite
  Matrices
Supervised LogEuclidean Metric Learning for Symmetric Positive Definite Matrices
Florian Yger
Masashi Sugiyama
26
27
0
12 Feb 2015
Functional correspondence by matrix completion
Functional correspondence by matrix completion
Artiom Kovnatsky
M. Bronstein
Xavier Bresson
P. Vandergheynst
27
90
0
27 Dec 2014
3D Shape Estimation from 2D Landmarks: A Convex Relaxation Approach
3D Shape Estimation from 2D Landmarks: A Convex Relaxation Approach
Xiaowei Zhou
Spyridon Leonardos
Xiaoyan Hu
Kostas Daniilidis
36
113
0
11 Nov 2014
Inference and Mixture Modeling with the Elliptical Gamma Distribution
Inference and Mixture Modeling with the Elliptical Gamma Distribution
Reshad Hosseini
S. Sra
Lucas Theis
Matthias Bethge
11
7
0
17 Oct 2014
Linear Dimensionality Reduction: Survey, Insights, and Generalizations
Linear Dimensionality Reduction: Survey, Insights, and Generalizations
John P. Cunningham
Zoubin Ghahramani
34
15
0
03 Jun 2014
Low-Rank Modeling and Its Applications in Image Analysis
Low-Rank Modeling and Its Applications in Image Analysis
Xiaowei Zhou
Can Yang
Hongyu Zhao
Weichuan Yu
57
181
0
15 Jan 2014
Global registration of multiple point clouds using semidefinite
  programming
Global registration of multiple point clouds using semidefinite programming
K. Chaudhury
Y. Khoo
A. Singer
27
92
0
21 Jun 2013
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion
Bamdev Mishra
R. Sepulchre
36
66
0
11 Jun 2013
Fixed-rank matrix factorizations and Riemannian low-rank optimization
Fixed-rank matrix factorizations and Riemannian low-rank optimization
Bamdev Mishra
Gilles Meyer
S. Bonnabel
R. Sepulchre
55
124
0
03 Sep 2012
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