25 citations · 143 across the 71 of their papers we have counts for
4 papers · 1 filter
On the Statistical Efficiency of Multi-Task Learning of Gaussian Graphical Models
Jean Honorio, Tommi Jaakkola, Dimitris Samaras
In this paper, we present multi-task structure learning for Gaussian graphical models. We analyze the sufficient number of samples for the correct recovery of the supp…
Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models
Jean Honorio
We study the convergence rate of stochastic optimization of exact (NP-hard) objectives, for which only biased estimates of the gradient are available. We motivate this problem in t…
Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data
Jean Honorio, Luis Ortiz
We consider learning, from strictly behavioral data, the structure and parameters of linear influence games (LIGs), a class of parametric graphical games introduced by Irfan and Or…
Lipschitz Parametrization of Probabilistic Graphical Models
Jean Honorio
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the lp-norm of the parameters. We discuss several implications of…