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Creators/Authors contains: "Shah, A."

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  1. ; ; ( , Proc. Int. Conf. Artif. Intell., Stat. (AISTATS-2021), Proc. Mach. Learn. Res. (PMLR))
    We consider learning a sparse pairwise Markov Random Field (MRF) with continuous valued variables from i.i.d samples. We adapt the algorithm of Vuffray et al. (2019) to this setting and provide finite- sample analysis revealing sample complexity scaling logarithmically with the number of variables, as in the discrete and Gaussian settings. Our approach is applicable to a large class of pairwise MRFs with continuous variables and also has desirable asymptotic properties, including consistency and normality under mild conditions. Further, we establish that the population version of the optimization criterion employed by Vuffray et al. (2019) can be interpreted as localmore »maximum likelihood estimation (MLE). As part of our analysis, we introduce a robust variation of sparse linear regression à la Lasso, which may be of interest in its own right.« less
    Accepted Manuscript Full Text Available
  2. ( , North American Spine Society journal)
    Full Text Available 
  3. ; ; ; ; ( , International Conference on Learning Representations (ICLR))
    Accepted Manuscript Full Text Available
  4. ; ; ; ; ; ; ; ; ; ; et al ( , Circulation)
    Heart failure (HF) is a major cause of morbidity and mortality, and one of the leading causes of hospitalization. Early detection of HF symptoms and pro-active management may reduce adverse events. Passive accelerometer data from smartphones may reflect behavioral and physiologic changes due to HF and thus could enable prediction of HF decompensation.
    Accepted Manuscript Full Text Available
  5. ; ; ( , Biomedical Optics Express)
    Full Text Available 
  6. ; ; ; ; ; ; ; ; ( , Review of Scientific Instruments)
    Full Text Available 
  7. ; ; ; ; ; ; ; ; ; ; et al ( , Journal of High Energy Physics)
    A bstract A search for a heavy resonance decaying into a top quark and a W boson in proton-proton collisions at $$ \sqrt{s} $$ s = 13 TeV is presented. The data analyzed were recorded with the CMS detector at the LHC and correspond to an integrated luminosity of 138 fb − 1 . The top quark is reconstructed as a single jet and the W boson, from its decay into an electron or muon and the corresponding neutrino. A top quark tagging technique based on jet clustering with a variable distance parameter and simultaneous jet grooming is used tomore »identify jets from the collimated top quark decay. The results are interpreted in the context of two benchmark models, where the heavy resonance is either an excited bottom quark b ∗ or a vector-like quark B. A statistical combination with an earlier search by the CMS Collaboration in the all-hadronic final state is performed to place upper cross section limits on these two models. The new analysis extends the lower range of resonance mass probed from 1.4 down to 0.7 TeV. For left-handed, right-handed, and vector-like couplings, b ∗ masses up to 3.0, 3.0, and 3.2 TeV are excluded at 95% confidence level, respectively. The observed upper limits represent the most stringent constraints on the b ∗ model to date.« less
    Free, publicly-accessible full text available April 1, 2023
  8. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review Letters)
    Free, publicly-accessible full text available March 1, 2023
  9. ; ; ; ; ; ; ; ; ; ; et al ( , IEEE Transactions on Plasma Science)
    Full Text Available 
  10. ; ; ; ; ; ; ; ; ; ; et al ( , Journal of High Energy Physics)
    A bstract A search for a heavy resonance decaying to a top quark and a W boson in the fully hadronic final state is presented. The analysis is performed using data from proton-proton collisions at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 137 fb − 1 recorded by the CMS experiment at the LHC. The search is focused on heavy resonances, where the decay products of each top quark or W boson are expected to be reconstructed as a single, large-radius jet with a distinct substructure. The production of an excited bottom quark, b *more », is used as a benchmark when setting limits on the cross section for a heavy resonance decaying to a top quark and a W boson. The hypotheses of b * quarks with left-handed, right-handed, and vector-like chiralities are excluded at 95% confidence level for masses below 2.6, 2.8, and 3.1 TeV, respectively. These are the most stringent limits on the b * quark mass to date, extending the previous best limits by almost a factor of two.« less
    Free, publicly-accessible full text available December 1, 2022