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. 1411.6156
  4. Cited By
Efficiently learning Ising models on arbitrary graphs
v1v2 (latest)

Efficiently learning Ising models on arbitrary graphs

22 November 2014
Guy Bresler
ArXiv (abs)PDFHTML

Papers citing "Efficiently learning Ising models on arbitrary graphs"

16 / 66 papers shown
Title
Learning Graphical Models Using Multiplicative Weights
Learning Graphical Models Using Multiplicative Weights
Adam R. Klivans
Raghu Meka
93
113
0
20 Jun 2017
Information Theoretic Properties of Markov Random Fields, and their
  Algorithmic Applications
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications
Linus Hamilton
Frederic Koehler
Ankur Moitra
81
64
0
31 May 2017
Mixing Times and Structural Inference for Bernoulli Autoregressive
  Processes
Mixing Times and Structural Inference for Bernoulli Autoregressive Processes
Dimitrios Katselis
Carolyn L. Beck
R. Srikant
54
15
0
19 Dec 2016
Optimal structure and parameter learning of Ising models
Optimal structure and parameter learning of Ising models
A. Lokhov
Marc Vuffray
Sidhant Misra
Michael Chertkov
114
80
0
15 Dec 2016
Exact recovery in the Ising blockmodel
Exact recovery in the Ising blockmodel
Quentin Berthet
Philippe Rigollet
P. Srivastava
TPM
117
45
0
12 Dec 2016
Square Hellinger Subadditivity for Bayesian Networks and its
  Applications to Identity Testing
Square Hellinger Subadditivity for Bayesian Networks and its Applications to Identity Testing
C. Daskalakis
Qinxuan Pan
53
48
0
09 Dec 2016
Testing Ising Models
Testing Ising Models
C. Daskalakis
Nishanth Dikkala
Gautam Kamath
129
101
0
09 Dec 2016
Lower Bounds on Active Learning for Graphical Model Selection
Lower Bounds on Active Learning for Graphical Model Selection
Jonathan Scarlett
Volkan Cevher
58
8
0
08 Jul 2016
Robust Learning of Fixed-Structure Bayesian Networks
Robust Learning of Fixed-Structure Bayesian Networks
Yu Cheng
Ilias Diakonikolas
D. Kane
Alistair Stewart
OOD
124
47
0
23 Jun 2016
Structure Learning in Graphical Modeling
Structure Learning in Graphical Modeling
Mathias Drton
Marloes H. Maathuis
CML
112
253
0
07 Jun 2016
Interaction Screening: Efficient and Sample-Optimal Learning of Ising
  Models
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models
Marc Vuffray
Sidhant Misra
A. Lokhov
Michael Chertkov
92
111
0
24 May 2016
Learning a Tree-Structured Ising Model in Order to Make Predictions
Learning a Tree-Structured Ising Model in Order to Make Predictions
Guy Bresler
Mina Karzand
104
46
0
22 Apr 2016
Estimating the interaction graph of stochastic neural dynamics
Estimating the interaction graph of stochastic neural dynamics
A. Duarte
A. Galves
E. Löcherbach
G. Ost
52
20
0
01 Apr 2016
Efficient Neighborhood Selection for Gaussian Graphical Models
Efficient Neighborhood Selection for Gaussian Graphical Models
Yingxiang Yang
Jalal Etesami
Negar Kiyavash
TPM
41
1
0
22 Sep 2015
Inference in Ising Models
Inference in Ising Models
B. Bhattacharya
Soumendu Sundar Mukherjee
83
58
0
25 Jul 2015
Minimax rates of entropy estimation on large alphabets via best
  polynomial approximation
Minimax rates of entropy estimation on large alphabets via best polynomial approximation
Yihong Wu
Pengkun Yang
161
220
0
01 Jul 2014
Previous
12