Mode Estimation for High Dimensional Discrete Tree Graphical Models

NeurIPS 2014 Chao ChenHan LiuDimitris MetaxasTianqi Zhao

This paper studies the following problem: given samples from a high dimensional discrete distribution, we want to estimate the leading $(\delta,\rho)$-modes of the underlying distributions. A point is defined to be a $(\delta,\rho)$-mode if it is a local optimum of the density within a $\delta$-neighborhood under metric $\rho$... (read more)

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