5 citations · 8 across the 6 of their papers we have counts for
6 papers
Dendrogram of mixing measures: Hierarchical clustering and model selection for finite mixture models
Dat Do, Linh Do, Scott A. McKinley +2
We present a new way to summarize and select mixture models via the hierarchical clustering tree (dendrogram) constructed from an overfitted latent mixing measure. Our proposed met…
Uncovering Heterogeneity of Solar Flare Mechanism With Mixture Models
Bach Viet Do, Yang Chen, XuanLong Nguyen +1
The physics of solar flares occurring on the Sun is highly complex and far from fully understood. However, observations show that solar eruptions are associated with the intense ki…
Modeling random directions of changes in simplex-valued data
Rayleigh Lei, XuanLong Nguyen
We propose models and algorithms for learning about random directions in simplex-valued data. The models are applied to the study of income level proportions and their changes over…
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances
Aritra Guha, Nhat Ho, XuanLong Nguyen
Dirichlet Process mixture models (DPMM) in combination with Gaussian kernels have been an important modeling tool for numerous data domains arising from biological, physical, and s…
Geometric Dirichlet Means algorithm for topic inference
Mikhail Yurochkin, XuanLong Nguyen
We propose a geometric algorithm for topic learning and inference that is built on the convex geometry of topics arising from the Latent Dirichlet Allocation (LDA) model and its no…
Identifiability and optimal rates of convergence for parameters of multiple types in finite mixtures
Nhat Ho, XuanLong Nguyen
This paper studies identifiability and convergence behaviors for parameters of multiple types in finite mixtures, and the effects of model fitting with extra mixing components. Fir…