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1206.4608
Cited By
A Hybrid Algorithm for Convex Semidefinite Optimization
International Conference on Machine Learning (ICML), 2012
18 June 2012
Soren Laue
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Papers citing
"A Hybrid Algorithm for Convex Semidefinite Optimization"
24 / 24 papers shown
Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without Strong Convexity
Mathematical programming (Math. Program.), 2019
Dan Garber
378
18
0
03 Dec 2019
Improved Regret Bounds for Projection-free Bandit Convex Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Dan Garber
Ben Kretzu
164
29
0
08 Oct 2019
Efficient Low-Rank Semidefinite Programming with Robust Loss Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Quanming Yao
Hansi Yang
En-Liang Hu
James T. Kwok
377
3
0
12 May 2019
A biconvex optimization for solving semidefinite programs via bilinear factorization
En-Liang Hu
629
0
0
03 Nov 2018
Smoothed analysis of the low-rank approach for smooth semidefinite programs
Thomas Pumir
Samy Jelassi
Nicolas Boumal
265
27
0
11 Jun 2018
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
Neural Information Processing Systems (NeurIPS), 2017
Francesco Locatello
Michael Tschannen
Gunnar Rätsch
Martin Jaggi
297
27
0
31 May 2017
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
International Conference on Artificial Intelligence and Statistics (AISTATS), 2017
Francesco Locatello
Rajiv Khanna
Michael Tschannen
Martin Jaggi
218
52
0
21 Feb 2017
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
Quanming Yao
James T. Kwok
288
58
0
13 Jun 2016
Finding Low-Rank Solutions via Non-Convex Matrix Factorization, Efficiently and Provably
Dohyung Park
Anastasios Kyrillidis
Constantine Caramanis
Sujay Sanghavi
329
55
0
10 Jun 2016
Provable Burer-Monteiro factorization for a class of norm-constrained matrix problems
Dohyung Park
Anastasios Kyrillidis
Srinadh Bhojanapalli
Constantine Caramanis
Sujay Sanghavi
281
22
0
04 Jun 2016
Linear-memory and Decomposition-invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
Dan Garber
Ofer Meshi
334
58
0
20 May 2016
Faster Projection-free Convex Optimization over the Spectrahedron
Dan Garber
252
34
0
20 May 2016
Pursuits in Structured Non-Convex Matrix Factorizations
Rajiv Khanna
Michael Tschannen
Martin Jaggi
332
1
0
12 Feb 2016
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli
Anastasios Kyrillidis
Sujay Sanghavi
429
179
0
14 Sep 2015
Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient
Zhuliang Yu
Shijie Xiao
Junbin Gao
Dong Xu
Anton Van Den Hengel
Javen Qinfeng Shi
214
1
0
10 Mar 2015
Large-scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014
Peng Wang
Chunhua Shen
Anton Van Den Hengel
Philip H. S. Torr
405
61
0
27 Nov 2014
Generalized Conditional Gradient for Sparse Estimation
Yaoliang Yu
Xinhua Zhang
Dale Schuurmans
348
80
0
17 Oct 2014
Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets
International Conference on Machine Learning (ICML), 2014
Dan Garber
Elad Hazan
411
203
0
05 Jun 2014
A Constrained Matrix-Variate Gaussian Process for Transposable Data
Machine-mediated learning (ML), 2014
Oluwasanmi Koyejo
Cheng H. Lee
Joydeep Ghosh
244
3
0
27 Apr 2014
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference
International Journal of Computer Vision (IJCV), 2014
Peng Wang
Chunhua Shen
Anton Van Den Hengel
Juil Sock
355
3
0
20 Apr 2014
Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods
SIAM Journal on Scientific Computing (SISC), 2014
Cun Mu
Yuqian Zhang
John N. Wright
Shiqian Ma
263
77
0
29 Mar 2014
Convex Relaxations of Bregman Divergence Clustering
Conference on Uncertainty in Artificial Intelligence (UAI), 2013
Hao Cheng
Xinhua Zhang
Dale Schuurmans
243
5
0
26 Sep 2013
The trace norm constrained matrix-variate Gaussian process for multitask bipartite ranking
Oluwasanmi Koyejo
Cheng H. Lee
Joydeep Ghosh
196
2
0
11 Feb 2013
A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization
Dan Garber
Elad Hazan
638
98
0
20 Jan 2013
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