Lasso performance, with the added benefit of providing multiple solutions.

Robot embodiments vary widely in their morphological ( e.g., number and connectivity

ERM combines two well-understood techniques: mini-batch sampling and gradient-based optimization using backpropagation.

Certified adversarial robustness of large-scale deep networks has progressed substantially after the introduction of randomized smoothing.

When the activation function of a network is analytic (e.g., sigmoid

The conventional approach to imputing longitudinal data is to employ a parametric model with mixed-effects, such as the linear mixed-effects model.