M
Michela Meister
Researcher at Cornell University
Publications - 4
Citations - 10
Michela Meister is an academic researcher from Cornell University. The author has contributed to research in topics: Contact tracing & Computer science. The author has an hindex of 1, co-authored 4 publications receiving 8 citations.
Papers
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Proceedings Article
A Data Prism: Semi-Verified Learning in the Small-Alpha Regime
Michela Meister,Gregory Valiant +1 more
TL;DR: In this paper, the authors consider a semi-verified learning model where each evaluator contributes a (possibly unreliable or adversarial) estimate of the values of some subset of the variables, and the learner is given the true value of a constant number of variables.
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A Data Prism: Semi-Verified Learning in the Small-Alpha Regime
Michela Meister,Gregory Valiant +1 more
TL;DR: A model of unreliable or crowdsourced data where there is an underlying set of binary variables, each evaluator contributes a (possibly unreliable or adversarial) estimate of the values of some subset of the variables, and the learner is given the true value of a constant number of variables.
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Optimizing the order of actions in contact tracing.
Michela Meister,Jon Kleinberg +1 more
TL;DR: In this article, the authors developed a formal model that articulates these questions and provided a framework for comparing contact tracing strategies, and gave provably optimal prioritization policies via a clean connection to a tool from operations research called a "branching bandit".
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Learning with Comparison Feedback: Online Estimation of Sample Statistics
Michela Meister,Sloan Nietert +1 more
TL;DR: In this article, the authors study an online version of the noisy binary search problem where feedback is generated by a non-stochastic adversary rather than perturbed by random noise, and provide robust algorithms for median, CDF, and mean estimation with nearly matching lower bounds.