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Scalable Semidefinite Relaxation for Maximum A Posterior Estimation

Scalable Semidefinite Relaxation for Maximum A Posterior Estimation

19 May 2014
Qi-Xing Huang
Yuxin Chen
Leonidas Guibas
ArXiv (abs)PDFHTML

Papers citing "Scalable Semidefinite Relaxation for Maximum A Posterior Estimation"

9 / 9 papers shown
Title
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral
  Bundling and Sketching
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching
Rico Angell
Andrew McCallum
96
2
0
19 Dec 2023
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained
  Optimization
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization
Zeeshan Akhtar
K. Rajawat
72
7
0
14 Jul 2021
Conditional gradient methods for stochastically constrained convex
  minimization
Conditional gradient methods for stochastically constrained convex minimization
Maria-Luiza Vladarean
Ahmet Alacaoglu
Ya-Ping Hsieh
Volkan Cevher
47
3
0
07 Jul 2020
Path-Invariant Map Networks
Path-Invariant Map Networks
Zaiwei Zhang
Zhenxiao Liang
Lemeng Wu
Xiaowei Zhou
Qi-Xing Huang
3DPC
60
12
0
31 Dec 2018
The Projected Power Method: An Efficient Algorithm for Joint Alignment
  from Pairwise Differences
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences
Yuxin Chen
Emmanuel Candes
310
93
0
19 Sep 2016
Efficient SDP Inference for Fully-connected CRFs Based on Low-rank
  Decomposition
Efficient SDP Inference for Fully-connected CRFs Based on Low-rank Decomposition
Peng Wang
Chunhua Shen
Anton Van Den Hengel
BDL
129
18
0
07 Apr 2015
Data-Driven Shape Analysis and Processing
Data-Driven Shape Analysis and Processing
Kai Xu
Vladimir G. Kim
Qi-Xing Huang
E. Kalogerakis
75
132
0
24 Feb 2015
Large-scale Binary Quadratic Optimization Using Semidefinite Relaxation
  and Applications
Large-scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications
Peng Wang
Chunhua Shen
Anton Van Den Hengel
Philip H. S. Torr
110
56
0
27 Nov 2014
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference
Peng Wang
Chunhua Shen
Anton Van Den Hengel
Philip Torr
59
3
0
20 Apr 2014
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