A communication setup is considered where a single transmitter wishes to convey
messages to one or two receivers and simultaneously estimate the states of the receivers …

Concentration inequalities have been the subject of exciting developments during the last
two decades, and have been intensively studied and used as a powerful tool in various …

We consider the classical two-encoder multiterminal source coding problem where distortion
is measured under logarithmic loss. We provide a single-letter description of the achievable …

We study the information-theoretic limits of joint communication and sensing when the
sensing task is modeled as the estimation of a discrete channel state fixed during the …

In this survey we review the concepts and methods of communication systems equipped
with side information. We focus on the channel coding problem, where side information is …

A privacy-constrained information extraction problem is considered where for a pair of
correlated discrete random variables (X, Y) governed by a given joint distribution, an agent …

This paper gives upper and lower bounds on the minimum error probability of Bayesian M-
ary hypothesis testing in terms of the Arimoto-Rényi conditional entropy of an arbitrary order …

We consider the problem of high-dimensional Gaussian graphical model selection. We
identify a set of graphs for which an efficient estimation algorithm exists, and this algorithm is …

This manuscript investigates the information-theoretic limits of integrated sensing and
communications (ISAC), aiming for simultaneous reliable communication and precise …

A scenario involving a source, a channel, and a destination, where the destination is
interested in both reliably reconstructing the message transmitted by the source and …