4 citations · 10 across the 8 of their papers we have counts for
8 papers
Cost-aware Generalized -investing for Multiple Hypothesis Testing
Thomas Cook, Harsh Vardhan Dubey, Ji Ah Lee +3
We consider the problem of sequential multiple hypothesis testing with nontrivial data collection costs. This problem appears, for example, when conducting biological experiments t…
Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data
Aaron Schein, Anjali Nagulpally, Hanna Wallach +1
We present a new non-negative matrix factorization model for bounded-support data based on the doubly non-central beta (DNCB) distribution, a generalization of the beta dis…
Exact and Approximate Hierarchical Clustering Using A*
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath +6
Hierarchical clustering is a critical task in numerous domains. Many approaches are based on heuristics and the properties of the resulting clusterings are studied post hoc. Howeve…
Data Structures & Algorithms for Exact Inference in Hierarchical Clustering
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath +5
Hierarchical clustering is a fundamental task often used to discover meaningful structures in data, such as phylogenetic trees, taxonomies of concepts, subtypes of cancer, and casc…
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…
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…