Estimating the interaction graph of stochastic neural dynamics

1 April 2016

Papers citing "Estimating the interaction graph of stochastic neural dynamics"

9 / 9 papers shown

Title
Efficiently learning Ising models on arbitrary graphs Guy Bresler 71 203 0 22 Nov 2014
Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields M. Lerasle D. Takahashi 65 9 0 13 Jun 2011
An Oracle Approach for Interaction Neighborhood Estimation in Random Fields M. Lerasle D. Takahashi 88 5 0 22 Oct 2010
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 270 957 0 02 Oct 2010
Identifying interacting pairs of sites in Ising models on a countable set A. Galves E. Orlandi D. Takahashi 87 7 0 02 Jun 2010
Neighborhood radius estimation in Variable-neighborhood Random Fields E. Loecherbach E. Orlandi 87 18 0 25 Feb 2010
Which graphical models are difficult to learn? Andrea Montanari J. A. Pereira 93 90 0 30 Oct 2009
Reconstruction of Markov Random Fields from Samples: Some Easy Observations and Algorithms Guy Bresler Elchanan Mossel Allan Sly 93 159 0 10 Dec 2007
Exponential inequalities for empirical unbounded context trees A. Galves Florencia Leonardi 109 25 0 31 Oct 2007