3 papers
stat.CO2026
True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration
Qinghua, Ding, Venkat Anantharam
We study true self-avoiding walk (TSAW) as a mechanism for improving empirical integral estimation via Markov chain Monte Carlo (MCMC). We consider finite-state adaptive sampling d…
math.PR2026
The Density Formula Approach for Non-reversible Isomorphism Theorems, with Applications
Qinghua, Ding, Venkat Anantharam
The classical isomorphism theorems for reversible Markov chains have played an important role in studying the properties of local time processes of strongly symmetric Markov proces…
stat.ML2026
On Statistical Estimation of Edge-Reinforced Random Walks
Qinghua, Ding, Venkat Anantharam
Reinforced random walks (RRWs), including vertex-reinforced random walks (VRRWs) and edge-reinforced random walks (ERRWs), model random walks where the transition probabilities evo…