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Publication DateArticle TitleAuthor(s)
2014Compositional Network MobilityZave, Pamela; Rexford, Jennifer
2020Towards Understanding Hierarchical Learning: Benefits of Neural RepresentationsChen, Minshuo; Bai, Yu; Lee, Jason D; Zhao, Tuo; Wang, Huan, et al
2015Conference on Learning Theory 2015: PrefaceGrünwald, Peter; Hazan, Elad
2016Context Specific and Differential Gene Co-expression Networks via Bayesian BiclusteringGao, Chuan; McDowell, Ian C; Zhao, Shiwen; Brown, Christopher D; Engelhardt, Barbara E
2020Contra: A Programmable System for Performance-aware RoutingHsu, Kuo-Feng; Beckett, Ryan; Chen, Ang; Rexford, Jennifer; Tammana, Praveen, et al
2015CoVisor: A Compositional Hypervisor for Software-Defined NetworksJin, Xin; Gossels, Jennifer; Rexford, Jennifer; Walker, David
2017Data-driven analysis of immune infiltrate in a large cohort of breast cancer and its association with disease progression, ER activity, and genomic complexityDannenfelser, Ruth; Nome, Marianne; Tahiri, Andliena; Ursini-Siegel, Josie; Vollan, Hans K M, et al
2013Starchart: Hardware and software optimization using recursive partitioning regression treesJia, Wenhao; Shaw, Kelly A; Martonosi, Margaret
2020A robust nonlinear low-dimensional manifold for single cell RNA-seq dataVerma, Archit; Engelhardt, Barbara E
2017A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care UnitsPrasad, Niranjani; Cheng, Li-Fang; Chivers, Corey; Draugelis, Michael; Engelhardt, Barbara E