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Learning algorithms mitigate impact of fraud on product rankings
Insights on how to design methods for uncertain environments to guarantee robustness in the face of manipulation.
Dec 15, 2020
Golrezaei wins YIP Award
Negin (Nicky) Golrezaei is the recipient of a 2021 Young Investigator Program (YIP) Award from the Office of Naval Research (ONR). Known as one of the oldest and most selective U.S. science and technology basic-research programs, the ONR YIP funds early-career academic researchers (investigators) “whose scientific pursuits show outstanding promise for supporting the Department of Defense, while also promoting their professional development.”
Following an extremely competitive selection process, the awards were announced recently. Golrezaei is one of three MIT awardees among the 38 scientists chosen from a broad spectrum of naval-relevant technical fields across science and engineering, “who show exceptional promise for doing creative research,” with “prior academic achievement and potential for significant scientific breakthrough” being key criteria.
Golrezaei’s three-year project, entitled “Finding a Needle in a Haystack: Utilizing Structures and Predictive Information in Online Optimization,” will focus on designing powerful and fast-learning online learning algorithms that optimally take advantage of the structures and predictive information regarding the underlying time-varying combinatorial environments where decision-makers have a great deal of uncertainty about those environments. Her fast-learning algorithms will better equip decision-makers who face an exponentially large number of actions from which to choose, and the algorithms can be applied to a wide range of problems in support of the U.S. Navy and Marine Corps.
