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Optimistic Estimation of Convergence in Markov Chains with the Average-Mixing Time
The convergence rate of a Markov chain to its stationary distribution is typically assessed using the concept of total variation mixing time. However, this worst-case measure often yields pessimistic estimates and is challenging to infer from observations. In this paper, we advocate for the use of t
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