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On the optimality of tree-reweighted max-product message-passing

On the optimality of tree-reweighted max-product message-passing

Conference on Uncertainty in Artificial Intelligence (UAI), 2005
4 July 2012
V. Kolmogorov
Martin J. Wainwright
ArXiv (abs)PDFHTML

Papers citing "On the optimality of tree-reweighted max-product message-passing"

25 / 25 papers shown
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference
  on Noisy Stable Instances
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable InstancesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Hunter Lang
Aravind Reddy
David Sontag
Aravindan Vijayaraghavan
193
3
0
26 Feb 2021
Can We Learn Heuristics For Graphical Model Inference Using
  Reinforcement Learning?
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?
Safa Messaoud
Maghav Kumar
Alex Schwing
284
5
0
27 Apr 2020
Discrete graphical models -- an optimization perspective
Discrete graphical models -- an optimization perspectiveFoundations and Trends in Computer Graphics and Vision (FTCGV), 2019
Bogdan Savchynskyy
242
26
0
24 Jan 2020
Polynomial-Time Exact MAP Inference on Discrete Models with Global
  Dependencies
Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies
Alexander Bauer
Shinichi Nakajima
TPM
327
0
0
27 Dec 2019
Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network
  Flow
Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow
Andrii Riazanov
Yury Maximov
Michael Chertkov
3DV
162
1
0
20 Oct 2017
Memory Efficient Max Flow for Multi-label Submodular MRFs
Memory Efficient Max Flow for Multi-label Submodular MRFsComputer Vision and Pattern Recognition (CVPR), 2016
Thalaiyasingam Ajanthan
Leonid Sigal
Mathieu Salzmann
143
11
0
20 Feb 2017
Submodular relaxation for inference in Markov random fields
Submodular relaxation for inference in Markov random fields
A. Osokin
Dmitry Vetrov
168
7
0
15 Jan 2015
Tree-based iterated local search for Markov random fields with
  applications in image analysis
Tree-based iterated local search for Markov random fields with applications in image analysisJournal of Heuristics (JH), 2014
T. Tran
Dinh Q. Phung
Svetha Venkatesh
177
2
0
22 Jul 2014
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference
Efficient Semidefinite Branch-and-Cut for MAP-MRF InferenceInternational Journal of Computer Vision (IJCV), 2014
Peng Wang
Chunhua Shen
Anton Van Den Hengel
Juil Sock
342
3
0
20 Apr 2014
Compact Relaxations for MAP Inference in Pairwise MRFs with Piecewise
  Linear Priors
Compact Relaxations for MAP Inference in Pairwise MRFs with Piecewise Linear Priors
Christopher Zach
Christian Häne
75
0
0
14 Aug 2013
Discrete Energy Minimization, beyond Submodularity: Applications and
  Approximations
Discrete Energy Minimization, beyond Submodularity: Applications and Approximations
Shai Bagon
176
3
0
27 Oct 2012
MAP Estimation, Linear Programming and Belief Propagation with Convex
  Free Energies
MAP Estimation, Linear Programming and Belief Propagation with Convex Free EnergiesConference on Uncertainty in Artificial Intelligence (UAI), 2007
Yair Weiss
C. Yanover
Talya Meltzer
229
173
0
20 Jun 2012
Node Splitting: A Scheme for Generating Upper Bounds in Bayesian
  Networks
Node Splitting: A Scheme for Generating Upper Bounds in Bayesian NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2007
Arthur Choi
M. Chavira
Adnan Darwiche
TPM
204
41
0
20 Jun 2012
Tightening LP Relaxations for MAP using Message Passing
Tightening LP Relaxations for MAP using Message PassingConference on Uncertainty in Artificial Intelligence (UAI), 2008
David Sontag
Talya Meltzer
Amir Globerson
Tommi Jaakkola
Yair Weiss
315
320
0
13 Jun 2012
Zero-Temperature Limit of a Convergent Algorithm to Minimize the Bethe
  Free Energy
Zero-Temperature Limit of a Convergent Algorithm to Minimize the Bethe Free Energy
Tomáš Werner
240
1
0
22 Dec 2011
Large Scale Correlation Clustering Optimization
Large Scale Correlation Clustering Optimization
Shai Bagon
Meirav Galun
174
57
0
13 Dec 2011
On Partial Opimality by Auxiliary Submodular Problems
On Partial Opimality by Auxiliary Submodular Problems
Alexander Shekhovtsov
Václav Hlaváč
188
8
0
06 Sep 2011
Interpreting Graph Cuts as a Max-Product Algorithm
Interpreting Graph Cuts as a Max-Product Algorithm
Daniel Tarlow
Inmar E. Givoni
R. Zemel
B. Frey
221
3
0
05 May 2011
Submodular Decomposition Framework for Inference in Associative Markov
  Networks with Global Constraints
Submodular Decomposition Framework for Inference in Associative Markov Networks with Global ConstraintsComputer Vision and Pattern Recognition (CVPR), 2011
A. Osokin
Dmitry Vetrov
V. Kolmogorov
247
15
0
05 Mar 2011
Joint Structured Models for Extraction from Overlapping Sources
Joint Structured Models for Extraction from Overlapping Sources
Rahul Gupta
Sunita Sarawagi
275
6
0
01 May 2010
Message-Passing Algorithms: Reparameterizations and Splittings
Message-Passing Algorithms: Reparameterizations and SplittingsIEEE Transactions on Information Theory (TIT), 2010
Nicholas Ruozzi
S. Tatikonda
TPM
535
32
0
17 Feb 2010
Norm-Product Belief Propagation: Primal-Dual Message-Passing for
  Approximate Inference
Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate InferenceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2009
Tamir Hazan
Amnon Shashua
TPM
1.1K
122
0
18 Mar 2009
Message-passing for Maximum Weight Independent Set
Message-passing for Maximum Weight Independent SetIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2008
Sujay Sanghavi
Devavrat Shah
A. Willsky
307
122
0
31 Jul 2008
Exactness of Belief Propagation for Some Graphical Models with Loops
Exactness of Belief Propagation for Some Graphical Models with Loops
Michael Chertkov
569
17
0
02 Jan 2008
Lagrangian Relaxation for MAP Estimation in Graphical Models
Lagrangian Relaxation for MAP Estimation in Graphical Models
Jason K. Johnson
Dmitry Malioutov
A. Willsky
546
86
0
28 Sep 2007
1
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