68 citations · 199 across the 14 of their papers we have counts for
4 papers · 1 filter
co-BPM: a Bayesian Model for Divergence Estimation
Kun Yang, Hao Su, Wing Hung Wong
Divergence is not only an important mathematical concept in information theory, but also applied to machine learning problems such as low-dimensional embedding, manifold learning,…
Density Estimation via Discrepancy Based Adaptive Sequential Partition
Dangna Li, Kun Yang, Wing Hung Wong
Given observations from an unknown absolute continuous distribution defined on some domain , we propose a nonparametric method to learn a piecewise constant function to ap…
Discovering and Visualizing Hierarchy in Multivariate Data
Kun Yang, Wing Hung Wong
How to extract useful insights from data is always a challenge, especially if the data is multidimensional. Often, the data can be organized according to certain hierarchical struc…
Multivariate Density Estimation via Adaptive Partitioning (I): Sieve MLE
Linxi Liu, Wing Hung Wong
We study a non-parametric approach to multivariate density estimation. The estimators are piecewise constant density functions supported by binary partitions. The partition of the…