We address the problem of learning decision functions from training data in which some attribute values are unobserved. This problem can arise for instance, when training data is... Watch Video

We study a setting in which Poisson processes generate sequences of decision-making events. The optimization goal is allowed to depend on the rate of decision outcomes; the rate may... Watch Video