ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1006.2899
  4. Cited By
Approximated Structured Prediction for Learning Large Scale Graphical
  Models

Approximated Structured Prediction for Learning Large Scale Graphical Models

15 June 2010
Tamir Hazan
R. Urtasun
ArXivPDFHTML

Papers citing "Approximated Structured Prediction for Learning Large Scale Graphical Models"

6 / 6 papers shown
Title
A New Class of Upper Bounds on the Log Partition Function
A New Class of Upper Bounds on the Log Partition Function
Martin J. Wainwright
Tommi Jaakkola
A. Willsky
77
459
0
12 Dec 2012
Discriminative Probabilistic Models for Relational Data
Discriminative Probabilistic Models for Relational Data
B. Taskar
Pieter Abbeel
D. Koller
58
823
0
12 Dec 2012
Constrained Approximate Maximum Entropy Learning of Markov Random Fields
Constrained Approximate Maximum Entropy Learning of Markov Random Fields
Varun Ganapathi
David Vickrey
John C. Duchi
D. Koller
62
36
0
13 Jun 2012
Convergent message passing algorithms - a unifying view
Convergent message passing algorithms - a unifying view
Talya Meltzer
Amir Globerson
Yair Weiss
88
129
0
09 May 2012
Norm-Product Belief Propagation: Primal-Dual Message-Passing for
  Approximate Inference
Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference
Tamir Hazan
Amnon Shashua
TPM
99
123
0
18 Mar 2009
Lagrangian Relaxation for MAP Estimation in Graphical Models
Lagrangian Relaxation for MAP Estimation in Graphical Models
Jason K. Johnson
Dmitry Malioutov
A. Willsky
104
87
0
28 Sep 2007
1