no code implementations • 16 Jun 2016 • Farideh Fazayeli, Arindam Banerjee
We consider the problem of estimating change in the dependency structure between two $p$-dimensional Ising models, based on respectively $n_1$ and $n_2$ samples drawn from the models.
no code implementations • 12 Apr 2016 • Farideh Fazayeli, Arindam Banerjee
Based on the property, we propose an importance sampling method for the $\mathcal{MGIG}$ where the mode of the proposal distribution matches that of the target.
no code implementations • NeurIPS 2014 • Arindam Banerjee, Sheng Chen, Farideh Fazayeli, Vidyashankar Sivakumar
Analysis of non-asymptotic estimation error and structured statistical recovery based on norm regularized regression, such as Lasso, needs to consider four aspects: the norm, the loss function, the design matrix, and the noise model.
