3 papers
stat.ML2019
MAP Clustering under the Gaussian Mixture Model via Mixed Integer Nonlinear Optimization
Patrick Flaherty, Pitchaya Wiratchotisatian, Ji Ah Lee +2
We present a global optimization approach for solving the maximum a-posteriori (MAP) clustering problem under the Gaussian mixture model.Our approach can accommodate side constrain…
stat.ME2017
A Deterministic Global Optimization Method for Variational Inference
Hachem Saddiki, Andrew C. Trapp, Patrick Flaherty
Variational inference methods for latent variable statistical models have gained popularity because they are relatively fast, can handle large data sets, and have deterministic con…
q-bio.GN2016
Variational inference for rare variant detection in deep, heterogeneous next-generation sequencing data
Fan Zhang, Patrick Flaherty
The detection of rare variants is important for understanding the genetic heterogeneity in mixed samples. Recently, next-generation sequencing (NGS) technologies have enabled the i…