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07/22/2022
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis
We study the performance – and specifically the rate at which the error ...
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12/14/2020
Decision-Making Algorithms for Learning and Adaptation with Application to COVID-19 Data
This work focuses on the development of a new family of decision-making ...
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10/17/2018
Algorithms and Fundamental Limits for Unlabeled Detection using Types
Emerging applications of sensor networks for detection sometimes suggest...
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09/12/2018
Distributed Chernoff Test: Optimal decision systems over networks
In this work, we propose two different sequential and adaptive hypothesi...
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03/18/2018