v1v2v3v4 (latest)

Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference

18 March 2009

Papers citing "Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference"

27 / 27 papers shown

Title
What type of inference is planning? Miguel Lázaro-Gredilla Li Yang Ku Kevin P. Murphy Dileep George 81 3 0 25 Jun 2024
Untangling Lariats: Subgradient Following of Variationally Penalized Objectives Kai-Chia Mo Shai Shalev-Shwartz Nisael Shártov 95 0 0 07 May 2024
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems Yanchen Deng Shufeng Kong Caihua Liu Bo An 95 4 0 24 Sep 2022
A Gaussian variational inference approach to motion planning Hongzhe Yu Yongxin Chen 75 18 0 13 Sep 2022
MPE inference using an Incremental Build-Infer-Approximate Paradigm Shivani Bathla V. Vasudevan TPM 21 0 0 04 Jun 2022
Multi-marginal optimal transport and probabilistic graphical models Isabel Haasler Rahul Singh Qinsheng Zhang Johan Karlsson Yongxin Chen OT 70 42 0 25 Jun 2020
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models Siddharth Tourani Alexander Shekhovtsov Carsten Rother Bogdan Savchynskyy 83 21 0 16 Apr 2020
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization Siddharth Tourani Alexander Shekhovtsov Carsten Rother Bogdan Savchynskyy 66 12 0 16 Apr 2020
Discrete graphical models -- an optimization perspective Bogdan Savchynskyy 69 26 0 24 Jan 2020
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment Ruben Hühnerbein Fabrizio Savarino Freddie Åström Christoph Schnörr 53 11 0 04 Oct 2017
Multiple scan data association by convex variational inference Jason L. Williams Roslyn A. Lau 24 28 0 27 Jul 2016
Partial Optimality by Pruning for MAP-Inference with General Graphical Models Paul Swoboda Alexander Shekhovtsov Jörg H. Kappes Christoph Schnörr Bogdan Savchynskyy 387 25 0 24 Oct 2014
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures J. Hershey Jonathan Le Roux F. Weninger BDL 177 433 0 09 Sep 2014
Learning Deep Structured Models Liang-Chieh Chen Alex Schwing Alan Yuille R. Urtasun BDL 115 247 0 09 Jul 2014
Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems N. Komodakis J. Pesquet 111 398 0 20 Jun 2014
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference Peng Wang Chunhua Shen Anton Van Den Hengel Philip Torr 57 3 0 20 Apr 2014
Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations Zhen Zhang Javen Qinfeng Shi Yanning Zhang Chunhua Shen Anton Van Den Hengel 76 6 0 17 Dec 2013
A new look at reweighted message passing V. Kolmogorov 76 54 0 22 Sep 2013
Variational Algorithms for Marginal MAP Qiang Liu Alexander Ihler 114 78 0 26 Feb 2013
Message-Passing Algorithms for Quadratic Minimization Nicholas Ruozzi S. Tatikonda 91 28 0 02 Dec 2012
Efficiently Searching for Frustrated Cycles in MAP Inference David Sontag Do Kook Choe Yitao Li 129 87 0 16 Oct 2012
Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study Bogdan Savchynskyy S. Schmidt 98 9 0 15 Oct 2012
Efficient Structured Prediction with Latent Variables for General Graphical Models Alex Schwing Tamir Hazan Marc Pollefeys R. Urtasun 382 71 0 27 Jun 2012
Generalized sequential tree-reweighted message passing V. Kolmogorov T. Schoenemann 102 22 0 29 May 2012
Continuous Markov Random Fields for Robust Stereo Estimation K. Yamaguchi Tamir Hazan David A. McAllester R. Urtasun 3DV 105 134 0 06 Apr 2012
Approximated Structured Prediction for Learning Large Scale Graphical Models Tamir Hazan R. Urtasun 100 4 0 15 Jun 2010
Message-Passing Algorithms: Reparameterizations and Splittings Nicholas Ruozzi S. Tatikonda TPM 114 32 0 17 Feb 2010