A new method for analyzing the mixing time of Markov chains is described. This method is an extension of path coupling and involves analyzing the coupling over multiple steps. The expected behavior of the coupling at a certain stopping time is used to bound the expected behavior of the coupling after a fixed number of steps. The new method is applied to analyze the mixing time of the Glauber dynamics for graph colorings. We show that the Glauber dynamics has O(n log(n)) mixing time for triangle-free Delta -regular graphs if k colors are used, where k greater than or equal to (2 - eta)Delta, for some small positive constant eta. This is the rst proof of an optimal upper bound for the mixing time of the Glauber dynamics for some values of k i...
A well-known conjecture in computer science and statistical physics is that Glauber dynamics on the ...
Copyright © 2019 by SIAM. A well-known conjecture in computer science and statistical physics is tha...
We study a simple Markov chain, known as the Glauber dynamics, for generating a random k-coloring of...
We analyse the mixing time of Markov chains using path coupling with stopping times. We apply this a...
We analyse the mixing time of Markov chains using path coupling with stopping times. We apply this a...
We analyse the mixing time of Markov chains using path coupling with stopping times. We apply this a...
We give a new method for analysing the mixing time of a Markov chain using path coupling with stoppi...
We analyse the mixing time of Markov chains using path coupling with stopping times. We apply this a...
This is a preprint of an article published in the journal Random Structures & Algorithms, 18(2), 101...
This is a preprint of an article published in the journal Random Structures & Algorithms, 18(2), 101...
Let T be a tree on n vertices and with maximum degree ∆. We show that for k ≥ ∆ + 1 the Glauber dyna...
We prove that the mixing time of the Glauber dynamics for random k-colorings of the complete tree wi...
We study a simple Markov chain, known as the Glauber dynamics, for randomly sampling (proper) k-colo...
We define a new Markov chain on (proper) k-colourings of graphs, and relate its convergence properti...
We present a new technique for constructing and analyzing couplings to bound the convergence rate of...
A well-known conjecture in computer science and statistical physics is that Glauber dynamics on the ...
Copyright © 2019 by SIAM. A well-known conjecture in computer science and statistical physics is tha...
We study a simple Markov chain, known as the Glauber dynamics, for generating a random k-coloring of...
We analyse the mixing time of Markov chains using path coupling with stopping times. We apply this a...
We analyse the mixing time of Markov chains using path coupling with stopping times. We apply this a...
We analyse the mixing time of Markov chains using path coupling with stopping times. We apply this a...
We give a new method for analysing the mixing time of a Markov chain using path coupling with stoppi...
We analyse the mixing time of Markov chains using path coupling with stopping times. We apply this a...
This is a preprint of an article published in the journal Random Structures & Algorithms, 18(2), 101...
This is a preprint of an article published in the journal Random Structures & Algorithms, 18(2), 101...
Let T be a tree on n vertices and with maximum degree ∆. We show that for k ≥ ∆ + 1 the Glauber dyna...
We prove that the mixing time of the Glauber dynamics for random k-colorings of the complete tree wi...
We study a simple Markov chain, known as the Glauber dynamics, for randomly sampling (proper) k-colo...
We define a new Markov chain on (proper) k-colourings of graphs, and relate its convergence properti...
We present a new technique for constructing and analyzing couplings to bound the convergence rate of...
A well-known conjecture in computer science and statistical physics is that Glauber dynamics on the ...
Copyright © 2019 by SIAM. A well-known conjecture in computer science and statistical physics is tha...
We study a simple Markov chain, known as the Glauber dynamics, for generating a random k-coloring of...