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Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data

Jun 12, 2021
Aaron Schein, Anjali Nagulpally, Hanna Wallach, Patrick Flaherty

* To appear in the Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 2021 

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Exact and Approximate Hierarchical Clustering Using A*

Apr 14, 2021
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum

* 30 pages, 9 figures 

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Compact Representation of Uncertainty in Hierarchical Clustering

Feb 26, 2020
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji-Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum

* 21 pages, 5 figures 

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Maximum a-Posteriori Estimation for the Gaussian Mixture Model via Mixed Integer Nonlinear Programming

Nov 08, 2019
Patrick Flaherty, Pitchaya Wiratchotisatian, Ji Ah Lee, Andrew C. Trapp

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A Deterministic Global Optimization Method for Variational Inference

Mar 21, 2017
Hachem Saddiki, Andrew C. Trapp, Patrick Flaherty

* 27 pages, 3 figures 

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A global optimization algorithm for sparse mixed membership matrix factorization

Oct 24, 2016
Fan Zhang, Chuangqi Wang, Andrew Trapp, Patrick Flaherty

* 19 pages, 3 figures, 1 table 

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Variational inference for rare variant detection in deep, heterogeneous next-generation sequencing data

Apr 22, 2016
Fan Zhang, Patrick Flaherty

* 19 pages, 6 figures, 4 tables 

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