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Francis J. Alexander

2 accepted papers

2022

Adaptive Group Testing with Mismatched Models

ICASSP 2022accepted

Accurate detection of infected individuals is one of the critical steps in stopping any pandemic. When the underlying infection rate of the disease is low, testing people in groups, instead of testing each individual in the population, can be more efficient. In this work, we consider noisy adaptive…

Cited by 0SourceScholar
2021

Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty

AISTATS 2021poster

To achieve label efficiency for training supervised learning models, pool-based active learning sequentially selects samples from a set of candidates as queries to label by optimizing an acquisition function. One category of existing methods adopts one-step-look-ahead strategies based on acquisition…

Cited by 27SourcePDFScholar