4 citations · 6 across the 3 of their papers we have counts for
3 papers
Bayesian Non-linear Latent Variable Modeling via Random Fourier Features
Michael Minyi Zhang, Gregory W. Gundersen, Barbara E. Engelhardt
The Gaussian process latent variable model (GPLVM) is a popular probabilistic method used for nonlinear dimension reduction, matrix factorization, and state-space modeling. Inferen…
A Divide and Conquer Strategy for High Dimensional Bayesian Factor Models
Gautam Sabnis, Debdeep Pati, Barbara Engelhardt +1
We propose a distributed computing framework, based on a divide and conquer strategy and hierarchical modeling, to accelerate posterior inference for high-dimensional Bayesian fact…
AdaCluster : Adaptive Clustering for Heterogeneous Data
Mehmet Emin Basbug, Barbara Engelhardt
Clustering algorithms start with a fixed divergence, which captures the possibly asymmetric distance between a sample and a centroid. In the mixture model setting, the sample distr…