26 citations · 50 across the 7 of their papers we have counts for
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cs.IT2018
Convergence Rates for Empirical Estimation of Binary Classification Bounds
Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon +1
Bounding the best achievable error probability for binary classification problems is relevant to many applications including machine learning, signal processing, and information th…
cs.IT2018
Scalable Mutual Information Estimation using Dependence Graphs
Morteza Noshad, Yu Zeng, Alfred O. Hero
The Mutual Information (MI) is an often used measure of dependency between two random variables utilized in information theory, statistics and machine learning. Recently several MI…
cs.IT2018
Scalable Hash-Based Estimation of Divergence Measures
Morteza Noshad, Alfred O. Hero
We propose a scalable divergence estimation method based on hashing. Consider two continuous random variables and whose densities have bounded support. We consider a partic…