Search Results - "Raman, Vinod"

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    Acute Amnestic Syndrome Associated with Fentanyl Overdose by Barash, Jed A, Ganetsky, Michael, Boyle, Katherine L, Raman, Vinod, Toce, Michael S, Kaplan, Scott, Lev, Michael H, Worth, Jonathan L, DeMaria, Alfred

    Published in The New England journal of medicine (22-03-2018)
    “…A syndrome of severe amnesia and medial temporal changes on magnetic resonance imaging after drug overdose has been reported with increasing frequency. Four…”
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    Acquired Glanzmann's Thrombasthenia Associated with Hodgkin Lymphoma: Rapid Reversal of Functional Platelet Defect with Chemotherapy Despite Persistence of a Glycoprotein Iib/Iiia Auto-Antibody by Raman, Vinod, Quillen, Karen, Sloan, John Mark

    Published in Blood (16-11-2012)
    “…Abstract 4656 Acquired Glanzmann's Thrombasthenia (GT) is a rare hemorrhagic disorder characterized by the impairment of platelet function caused by inhibition…”
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    Acute Amnestic Syndrome Associated with Fentanyl Overdose: Letter by Barash, Jed A, Ganetsky, Michael, Boyle, Katherine L, Raman, Vinod, Toce, Michael S, Kaplan, Scott, Lev, Michael H, Worth, Jonathan L, DeMaria, Alfred

    Published in The New England journal of medicine (22-03-2018)
    “…A syndrome of severe amnesia and medial temporal changes on magnetic resonance imaging after drug overdose has been reported with increasing frequency. Four…”
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    Journal Article
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    Generation through the lens of learning theory by Raman, Vinod, Tewari, Ambuj

    Published 17-10-2024
    “…We study generation through the lens of statistical learning theory. First, we abstract and formalize the results of Gold [1967], Angluin [1979, 1980], and…”
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    Online Classification with Predictions by Raman, Vinod, Tewari, Ambuj

    Published 22-05-2024
    “…We study online classification when the learner has access to predictions about future examples. We design an online learner whose expected regret is never…”
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    TFEB-driven lysosomal biogenesis is pivotal for PGC1α-dependent renal stress resistance by Lynch, Matthew R, Tran, Mei T, Ralto, Kenneth M, Zsengeller, Zsuzsanna K, Raman, Vinod, Bhasin, Swati S, Sun, Nuo, Chen, Xiuying, Brown, Daniel, Rovira, Ilsa I, Taguchi, Kensei, Brooks, Craig R, Stillman, Isaac E, Bhasin, Manoj K, Finkel, Toren, Parikh, Samir M

    Published in JCI insight (18-04-2019)
    “…Because injured mitochondria can accelerate cell death through the elaboration of oxidative free radicals and other mediators, it is striking that proliferator…”
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    Online Agnostic Multiclass Boosting by Raman, Vinod, Tewari, Ambuj

    Published 30-05-2022
    “…Boosting is a fundamental approach in machine learning that enjoys both strong theoretical and practical guarantees. At a high-level, boosting algorithms…”
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    Smoothed Online Classification can be Harder than Batch Classification by Raman, Vinod, Subedi, Unique, Tewari, Ambuj

    Published 24-05-2024
    “…We study online classification under smoothed adversaries. In this setting, at each time point, the adversary draws an example from a distribution that has a…”
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    The Complexity of Sequential Prediction in Dynamical Systems by Raman, Vinod, Subedi, Unique, Tewari, Ambuj

    Published 09-02-2024
    “…We study the problem of learning to predict the next state of a dynamical system when the underlying evolution function is unknown. Unlike previous work, we…”
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    Online Infinite-Dimensional Regression: Learning Linear Operators by Raman, Vinod, Subedi, Unique, Tewari, Ambuj

    Published 08-09-2023
    “…We consider the problem of learning linear operators under squared loss between two infinite-dimensional Hilbert spaces in the online setting. We show that the…”
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    A Combinatorial Characterization of Supervised Online Learnability by Raman, Vinod, Subedi, Unique, Tewari, Ambuj

    Published 07-07-2023
    “…We study the online learnability of hypothesis classes with respect to arbitrary, but bounded loss functions. No characterization of online learnability is…”
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    Online Learning with Set-Valued Feedback by Raman, Vinod, Subedi, Unique, Tewari, Ambuj

    Published 09-06-2023
    “…We study a variant of online multiclass classification where the learner predicts a single label but receives a \textit{set of labels} as feedback. In this…”
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    On the Learnability of Multilabel Ranking by Raman, Vinod, Subedi, Unique, Tewari, Ambuj

    Published 06-04-2023
    “…Multilabel ranking is a central task in machine learning. However, the most fundamental question of learnability in a multilabel ranking setting with…”
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    Multiclass Transductive Online Learning by Hanneke, Steve, Raman, Vinod, Shaeiri, Amirreza, Subedi, Unique

    Published 03-11-2024
    “…We consider the problem of multiclass transductive online learning when the number of labels can be unbounded. Previous works by Ben-David et al. [1997] and…”
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    A Characterization of Multioutput Learnability by Raman, Vinod, Subedi, Unique, Tewari, Ambuj

    Published 06-01-2023
    “…We consider the problem of learning multioutput function classes in batch and online settings. In both settings, we show that a multioutput function class is…”
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    On Proper Learnability between Average- and Worst-case Robustness by Raman, Vinod, Subedi, Unique, Tewari, Ambuj

    Published 10-11-2022
    “…Recently, Montasser et al. [2019] showed that finite VC dimension is not sufficient for proper adversarially robust PAC learning. In light of this hardness,…”
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