Recent works have shown that stochastic gradient descent (SGD) achieves the fast convergence
rates of full-batch gradient descent for over-parameterized models satisfying certain …

Limb vascular conductance responses to pharmacological and nonexercise vasodilator stimuli
are generally augmented in women compared with men. In the present investigation, we …

Our previous work suggests that healthy human aging is associated with sex-specific
differences in leg vascular responses during large muscle mass exercise (2-legged cycling) (…

We develop fast algorithms and robust software for convex optimization of two-layer neural
networks with ReLU activation functions. Our work leverages a convex re-formulation of the …

Uncertainty estimation in large deep-learning models is a computationally challenging task,
where it is difficult to form even a Gaussian approximation to the posterior distribution. In …

Background Few options are available for cytomegalovirus (CMV) treatment in transplant
recipients resistant, refractory, or intolerant to approved agents. Letermovir (LET) is approved …

Background Infection with the novel severe acute respiratory syndrome coronavirus 2 has
been associated with a hypercoagulable state. Emerging data from China and Europe have …

OBJECTIVES Vaccination reduces the risk of acute coronavirus disease 2019 (COVID-19)
in children, but it is less clear whether it protects against long COVID. We estimated vaccine …

We develop an analytical framework to characterize the set of optimal ReLU neural networks
by reformulating the non-convex training problem as a convex program. We show that the …

Heart failure (HF) poses a significant economic burden on our health-care resources with
very high readmission rates. Remote monitoring has a substantial potential to improve the …