The fidelity bandits problem is a variant of the K-armed bandit problem ...
Deep Convolutional Neural Networks (DCNNs) commonly use generic `max-poo...
The paper introduces a penalized matrix estimation procedure aiming at
s...
We study the problem of prediction for evolving graph data. We formulate...