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Data processing inequality

The Data processing inequality is an information theoretic concept which states that the information content of a signal cannot be increased via a… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Estimating and maximizing mutual information (MI) is core to many objectives in machine learning, but tractably lower bounding MI… 
2017
2017
We prove a number of quantitative stability bounds for the cases of equality in Petz’s monotonicity theorem for quasi-relative… 
Review
2015
Review
2015
This paper provides a survey of the state-of-the-art information theoretic analysis for overlay multi-user (more than two pairs… 
Highly Cited
2014
Highly Cited
2014
In this paper we provide the correct tight constant to a data-processing inequality claimed by Erkip and Cover. The correct… 
Highly Cited
2013
Highly Cited
2013
Sandwiched (quantum) α-Renyi divergence has been recently defined in the independent works of Wilde et al. [“Strong converse for… 
2010
2010
We consider the quantum f-relative entropy where f is an operator convex function. We define a family of operator convex… 
2009
2009
The secrecy capacity of a network, for a given collection of permissible wiretap sets, is the maximum rate of communication such… 
Highly Cited
2008
Highly Cited
2008
Source and channel coding over multiuser channels in which receivers have access to correlated source side information are… 
Highly Cited
2006
Highly Cited
2006
In the distributed coding of correlated sources, the problem of characterizing the joint probability distribution of a pair of…