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pro vyhledávání: '"Maghakian, A"'
Adjusting batch sizes and adaptively tuning other hyperparameters can significantly speed up deep neural network (DNN) training. Despite the ubiquity of heterogeneous clusters, existing adaptive DNN training techniques solely consider homogeneous env
Externí odkaz:
http://arxiv.org/abs/2402.05302
Autor:
Maghakian, Jessica, Mineiro, Paul, Panaganti, Kishan, Rucker, Mark, Saran, Akanksha, Tan, Cheng
In an era of countless content offerings, recommender systems alleviate information overload by providing users with personalized content suggestions. Due to the scarcity of explicit user feedback, modern recommender systems typically optimize for th
Externí odkaz:
http://arxiv.org/abs/2211.15823
Publikováno v:
In Environmental Challenges January 2024 14
Publikováno v:
Environmental Challenges, Vol 14, Iss , Pp 100822- (2024)
In recent decades, the recreational use of urban rivers has become popular, and public access to riverbanks has improved. However, in the context of global warming, the risk of drowning in urban rivers may increase. The objective of this study is to
Externí odkaz:
https://doaj.org/article/bc3cb427f94e4c6eb25ba72772e4aa9e
Autor:
Joseph Somech, Aayushi Joshi, Rita Mancini, Jessica Chetrit, Caroline Michel, Richard Sheppard, Viviane Nguyen, Mathieu Walker, Nadia Giannetti, Abhinav Sharma, Delina Maghakian, Esther Laforest, Jonathan Afilalo
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 6 (2023)
Background Frailty is prevalent in older adults with heart failure and is associated with poor outcomes; however, there remains uncertainty on how to measure frailty in clinical practice. Methods and Results A multicentric prospective cohort study wa
Externí odkaz:
https://doaj.org/article/9a9beafd64b4450b9ef370af935eb0ab
Publikováno v:
In Economics of Education Review December 2018 67:158-170
Autor:
Jessica Maghakian
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 50:24-27
Brief Biography: Jessica Maghakian is a final-year PhD candidate in Operations Research at Stony Brook University. She has collaborated with several industry partners and interned at Microsoft Research NYC. Jessica's research combines data-driven dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::767206ec21c17fbe445105c3c2eaf5ef
https://doi.org/10.1145/3579342.3579349
https://doi.org/10.1145/3579342.3579349
Akademický článek
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Autor:
Jian Li, Mohammad H. Hajiesmaili, Zhenhua Liu, Jessica Maghakian, Russell Lee, Ramesh K. Sitaraman
Publikováno v:
e-Energy
This paper studies the online energy scheduling problem in a hybrid model where the cost of energy is proportional to both the volume and peak usage, and where energy can be either locally generated or drawn from the grid. Inspired by recent advances
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e457f5580c42d81a64da970678fc0710
https://doi.org/10.1145/3508467.3508473
https://doi.org/10.1145/3508467.3508473
What a difference a day makes: Quantifying the effects of birth timing manipulation on infant health
Publikováno v:
In Journal of Health Economics January 2014 33:139-158