k. The model we study can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting. We show that the multi...
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
One of the outcomes of Moore's Law - according to which the exponential growth of technical advances in computer science is pushing more and more of our computers into obsole...
Thimoty Barbieri, Franca Garzotto, Giovanni Beltra...
Behavioral norms are key ingredients that allow agent coordination where societal laws do not sufï¬ciently constrain agent behaviors. Whereas social laws need to be enforced in a...
In this paper, we present a categorical model for Multiplicative Additive Polarized Linear Logic MALLP, which is the linear fragment (without structural rules) of Olivier Laurentâ...