6 citations · 8 across the 4 of their papers we have counts for
4 papers
Linear Run Time of Persistent Homology Computation with GPU Parallelization
Michael G. Rawson
Persistent homology is a crucial invariant that is used in many areas to understand data. The run time is a hindrance to its use on most large datasets. We give a parallel…
Topological Data Analysis for Word Sense Disambiguation
Michael Rawson, Samuel Dooley, Mithun Bharadwaj +1
We develop and test a novel unsupervised algorithm for word sense induction and disambiguation which uses topological data analysis. Typical approaches to the problem involve clust…
Top-K Ranking Deep Contextual Bandits for Information Selection Systems
Jade Freeman, Michael Rawson
In today's technology environment, information is abundant, dynamic, and heterogeneous in nature. Automated filtering and prioritization of information is based on the distinction…
Convergence Guarantees for Deep Epsilon Greedy Policy Learning
Michael Rawson, Radu Balan
Policy learning is a quickly growing area. As robotics and computers control day-to-day life, their error rate needs to be minimized and controlled. There are many policy learning…