… convergence is not immediate after a random walk is initiated. For instance, after one step
of the walk, it is not possible for the walker to go beyond … the random walker data structure in …

… the graph structure, applications based on random walks are … any “breadcrumbs” left behind
at a node by one hunter to pro- … Since the rate of convergence of a random walk to a uniform …

… graph structure. Thus, the MHDA is applied, as ‘a special case’, to construct a random walk
crawling … [9, 10] showed that certain ‘lifted’ (non-reversible) Markov chains converge to their …

… convergence of high dimensional random walks [KM17, DK17, KO18, AL20], by presenting
a structured … We are specifically interested in going beyond Alev and Lau’s worst case result […

… of convergence of a Markov chain to stationarity is its (worst-… place it in the context of the
structure theorem for C1, recently given … The intuition behind these results is better seen for the …

… the past … past, extreme climate change and productivity collapse associated with extinctions
might have triggered the evolution of foraging adaptations converging on optimal Lévy walks …

… In the past, these two problems have been addressed by assuming a simpler underlying
structure … They also suggest that the Gibbs sampling procedure can converge to the ground truth …

… The cobra walk process has structural similarities with … are a wide class of graphs beyond
expanders for which this … can indeed verify that the walk on D(G × G) converges rapidly to its …

… We have described the theory and intuition behind a number of … -dimensional MMPP, and
showed that in higher dimensions … Weak convergence and optimal scaling of random walk …

… -kernel lower bounds which go beyond the estimates that can … the nearest-neighbor structure
of the walk and to an underlying … in the annuli Λ2k+1 \ Λ2k converges as to ρ. In particular, …