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. 1409.3821
  4. Cited By
Computational Implications of Reducing Data to Sufficient Statistics

Computational Implications of Reducing Data to Sufficient Statistics

12 September 2014
Andrea Montanari
ArXivPDFHTML

Papers citing "Computational Implications of Reducing Data to Sufficient Statistics"

6 / 6 papers shown
Title
Hardness of parameter estimation in graphical models
Hardness of parameter estimation in graphical models
Guy Bresler
D. Gamarnik
Devavrat Shah
39
32
0
12 Sep 2014
Entropy, Optimization and Counting
Entropy, Optimization and Counting
Mohit Singh
Nisheeth K. Vishnoi
65
86
0
30 Apr 2013
High-dimensional structure estimation in Ising models: Local separation
  criterion
High-dimensional structure estimation in Ising models: Local separation criterion
Anima Anandkumar
Vincent Y. F. Tan
Furong Huang
A. Willsky
141
114
0
08 Jul 2011
High-dimensional Ising model selection using ${\ell_1}$-regularized
  logistic regression
High-dimensional Ising model selection using ℓ1{\ell_1}ℓ1​-regularized logistic regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
217
957
0
02 Oct 2010
Which graphical models are difficult to learn?
Which graphical models are difficult to learn?
Andrea Montanari
J. A. Pereira
72
90
0
30 Oct 2009
Reconstruction of Markov Random Fields from Samples: Some Easy
  Observations and Algorithms
Reconstruction of Markov Random Fields from Samples: Some Easy Observations and Algorithms
Guy Bresler
Elchanan Mossel
Allan Sly
88
158
0
10 Dec 2007
1