3 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
Tuning-Free Disentanglement via Projection
Yue Bai, Leo L. Duan
In representation learning and non-linear dimension reduction, there is a huge interest to learn the 'disentangled' latent variables, where each sub-coordinate almost uniquely cont…
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification
Leo L Duan
High dimensional data often contain multiple facets, and several clustering patterns can co-exist under different variable subspaces, also known as the views. While multi-view clus…
Bayesian Distance Clustering
Leo L Duan, David B Dunson
Model-based clustering is widely-used in a variety of application areas. However, fundamental concerns remain about robustness. In particular, results can be sensitive to the choic…
Mixed-Stationary Gaussian Process for Flexible Non-Stationary Modeling of Spatial Outcomes
Leo L. Duan, Xia Wang, Rhonda D. Szczesniak
Gaussian processes (GPs) are commonplace in spatial statistics. Although many non-stationary models have been developed, there is arguably a lack of flexibility compared to equippi…