Many conventional learning algorithms rely on loss functions other than ...
The non-interactive source simulation (NISS) scenario is considered. In ...
We study the problem of sequential prediction and online minimax regret ...
We study the sequential general online regression, known also as the
seq...
There has been significant recent interest in quantum neural networks (Q...
As a class of state-dependent channels, Markov channels have been long
s...
Over decades traditional information theory of source and channel coding...
We develop a framework using Hilbert spaces as a proxy to analyze PAC
le...
Advances in quantum information processing compel us to explore learning...
In this work, we study two problems: three-user Multiple-Access Channel ...
This paper considers the problem of approximating a Boolean function f
u...
We investigate faithful simulation of distributed quantum measurements a...
We derive a lower and upper bound on the reliability function of discret...
In this paper, we investigate the necessity of finite blocklength codes ...