Computational transition at the uniqueness threshold
A Sly - 2010 IEEE 51st Annual Symposium on Foundations of …, 2010 - ieeexplore.ieee.org
The hardcore model is a model of lattice gas systems which has received much attention in
statistical physics, probability theory and theoretical computer science. It is the probability …
statistical physics, probability theory and theoretical computer science. It is the probability …
Strong Data Processing Inequalities and -Sobolev Inequalities for Discrete Channels
M Raginsky - IEEE Transactions on Information Theory, 2016 - ieeexplore.ieee.org
The noisiness of a channel can be measured by comparing suitable functionals of the input
and output distributions. For instance, the worst case ratio of output relative entropy to input …
and output distributions. For instance, the worst case ratio of output relative entropy to input …
Gibbs measures and phase transitions on sparse random graphs
A Dembo, A Montanari - 2010 - projecteuclid.org
Many problems of interest in computer science and information theory can be phrased in
terms of a probability distribution over discrete variables associated to the vertices of a large …
terms of a probability distribution over discrete variables associated to the vertices of a large …
Information contraction and decomposition
A Makur - 2019 - dspace.mit.edu
These inequalities can be tightened to produce" strong" data processing inequalities
(SDPIs), which are obtained by introducing appropriate channel-dependent or source …
(SDPIs), which are obtained by introducing appropriate channel-dependent or source …
Reconstruction and clustering in random constraint satisfaction problems
Random instances of constraint satisfaction problems (CSPs) appear to be hard for all
known algorithms when the number of constraints per variable lies in a certain interval …
known algorithms when the number of constraints per variable lies in a certain interval …
Reconstruction of random colourings
A Sly - Communications in Mathematical Physics, 2009 - Springer
Reconstruction problems have been studied in a number of contexts including biology,
information theory and statistical physics. We consider the reconstruction problem for …
information theory and statistical physics. We consider the reconstruction problem for …
Frogs on trees?
J Hermon - 2018 - projecteuclid.org
We study a system of simple random walks on T_d,n=(\calV_d,n,\calE_d,n), the d-ary tree of
depth n, known as the frog model. Initially there are Pois (λ) particles at each site …
depth n, known as the frog model. Initially there are Pois (λ) particles at each site …
Broadcasting on random directed acyclic graphs
A Makur, E Mossel, Y Polyanskiy - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We study the following generalization of the wellknown model of broadcasting on trees.
Consider an infinite directed acyclic graph (DAG) with a unique source vertex X. Let the …
Consider an infinite directed acyclic graph (DAG) with a unique source vertex X. Let the …
Randomly coloring planar graphs with fewer colors than the maximum degree
We study Markov chains for randomly sampling k-colorings of a graph with maximum degree
δ. Our main result is a polynomial upper bound on the mixing time of the single-site update …
δ. Our main result is a polynomial upper bound on the mixing time of the single-site update …
Better size estimation for sparse matrix products
RR Amossen, A Campagna, R Pagh - Algorithmica, 2014 - Springer
We consider the problem of doing fast and reliable estimation of the number z of non-zero
entries in a sparse boolean matrix product. This problem has applications in databases and …
entries in a sparse boolean matrix product. This problem has applications in databases and …