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20242026
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cs.DS2026

A Spectral Local-to-Global Principle for Spin Systems on Graphs with Girth At Least Five

Xiaoyu Chen, Kuikui Liu

It is proved that, for every , the Glauber dynamics for the uniform distribution on proper -colorings is rapidly mixing when and the underlying graph…

cs.DS2026

Edge-Tilting Field Dynamics: Rapid Mixing at the Uniqueness Threshold and Optimal Mixing for Swendsen-Wang Dynamics

Xiaoyu Chen, Zhe Ju, Tianshun Miao +2

We prove two results on the mixing times of Markov chains for two-spin systems. First, we show that the Glauber dynamics mixes in polynomial time for the Gibbs distributions of ant…

cs.DS2026

Subquadratic Counting via Perfect Marginal Sampling

Xiaoyu Chen, Zongchen Chen, Kuikui Liu +1

We study the computational complexity of approximately computing the partition function of a spin system. Techniques based on standard counting-to-sampling reductions yield $\tilde…

cs.DS2026

Rapid Mixing at the Uniqueness Threshold

Xiaoyu Chen, Zongchen Chen, Yitong Yin +1

Over the past decades, a fascinating computational phase transition has been identified in sampling from Gibbs distributions. Though, the computational complexity at the critical p…

cs.DS2025

Rapid Mixing on Random Regular Graphs beyond Uniqueness

Xiaoyu Chen, Zejia Chen, Zongchen Chen +2

The hardcore model is a fundamental probabilistic model extensively studied in statistical physics, probability theory, and computer science. For graphs of maximum degree , a w…

cs.DS2025

Efficient Parallel Ising Samplers via Localization Schemes

Xiaoyu Chen, Hongyang Liu, Yitong Yin +1

We introduce efficient parallel algorithms for sampling from the Gibbs distribution and estimating the partition function of Ising models. These algorithms achieve parallel efficie…